阅读说明：本技术 一种用于图形图像转换的快速定标系统 (Quick calibration system for graphic image conversion ) 是由 焦龙 商建民 范江涛 陈姚姚 顾兴臣 于 2021-11-01 设计创作，主要内容包括：本发明公开了一种用于图形图像转换的快速定标系统,包括定标目标、定标环境、定标硬件设备和测量与实施流程,所述定标硬件设备包含有环境数据获取模块、定标地物光谱数据获取模块、辅助设备模块、数据处理模块和数据输送模块。本发明所述的一种用于图形图像转换的快速定标系统,通过在农场区域内选取典型的三组定标目标,并在自然环境下采用地面实时测量的方式对遥感器进行定标,简化了定标流程,便于实际操作中设备的布置、携带和移动,有利于检测设备在各个检测场地中进行辗转切换,同时可以准确且全面的获取定标目标处的空中、地面和大气环境等各项数据,提高结果的准确性。(The invention discloses a rapid calibration system for graphic image conversion, which comprises a calibration target, a calibration environment, calibration hardware equipment and a measurement and implementation process, wherein the calibration hardware equipment comprises an environment data acquisition module, a calibration ground object spectral data acquisition module, an auxiliary equipment module, a data processing module and a data transmission module. According to the rapid calibration system for graphic image conversion, three typical calibration targets are selected in a farm area, and a ground real-time measurement mode is adopted to calibrate a remote sensor in a natural environment, so that the calibration process is simplified, the arrangement, carrying and movement of equipment in actual operation are facilitated, the rolling switching of detection equipment in each detection field is facilitated, various data such as air, ground and atmospheric environment at the calibration targets can be accurately and comprehensively acquired, and the accuracy of results is improved.)

1. A fast scaling system for graphic image conversion, comprising a scaling target (1), a scaling environment (2), scaling hardware devices (3) and a measurement and implementation flow (4), characterized in that: calibration hardware equipment (3) include environmental data acquisition module (31), calibration surface feature spectral data acquisition module (32), auxiliary assembly module (33), data processing module (34) and data transport module (35), calibration surface feature spectral data acquisition module (32) are including surface feature imaging spectrometer (321) that are used for surface feature spectral data to detect, be used for carrying on surface feature imaging spectrometer (321) many rotor unmanned aerial vehicle (322), be used for surface feature imaging spectrometer (321) and many rotor unmanned aerial vehicle (322) the connection platform (323) of being connected, connection platform (323) inboard rotation is connected with surface feature imaging spectrometer (321).

2. A fast scaling system for graphic image conversion according to claim 1, characterized by: connecting platform (323) upper end fixedly connected with undercarriage (324), undercarriage (324) upper end and many rotor unmanned aerial vehicle (322) fixed connection, the upper end fixedly connected with attitude sensor (325) of ground object imaging spectrometer (321), and the entrance pupil department outside of ground object imaging spectrometer (321) is equipped with distance sensor (326).

3. A fast scaling system for graphic image conversion according to claim 1, characterized by: the connecting platform (323) comprises a connecting sleeve (32 a) and a ball seat (32 b), the upper end of the connecting sleeve (32 a) is fixedly connected with an undercarriage (324) of a multi-rotor unmanned aerial vehicle (322) through threads, the lower end of the connecting sleeve (32 a) is fixedly connected with the ball seat (32 b), the middle part of the upper end of the ball seat (32 b) is fixedly connected with a plug (32 c) through threads, the lower end of the plug (32 c) is rotatably connected with a ball rod (32 d), the outer side of the ball rod (32 d) is rotatably connected with a ball (32 e), the outer side of the ball (32 e) is rotatably connected with the ball seat (32 b), the lower end of the ball rod (32 d) is fixedly connected with a fixing sleeve (32 f) through threads, a first micro motor (32 g) is fixedly connected with a first fixing sleeve (32 f) inside, and a first micro motor (32 g) is fixedly connected with a main shaft mounting rack (32 h), the middle part of the front end of the mounting frame (32 h) is fixedly connected with a second micro motor (32 i), and the tail end of a main shaft of the second micro motor (32 i) is fixedly connected with the ground object imaging spectrometer (321).

4. A fast scaling system for graphic image conversion according to claim 1, characterized by: the calibration target (1) comprises a rectangular farmland (11) for planting field crops, a forest land (12) with a definite boundary for planting trees and a circular water storage tank (13) for irrigating the farmland, the elevation fall of the rectangular farmland (11) is less than one meter, and the types of the trees planted in the region of the forest land (12) are the same.

5. A fast scaling system for graphic image conversion according to claim 1, characterized by: the calibration environment (2) is the environment where the calibration target (1) is located when the remote sensor crosses the border, and the total cloud amount of the calibration environment (2) is between 0 and 1.

6. A fast scaling system for graphic image conversion according to claim 1, characterized by: the environment data acquisition module (31) comprises a sun photometer (310) for detecting the optical thickness of the atmospheric aerosol, an ozone detector (311) for detecting the content of ozone in the atmosphere, an atmospheric environment sensor (312) for detecting the content of water and particles in the atmosphere, a temperature sensor (313) for detecting the ground environment, a humidity sensor (314) for detecting the ground environment, a wind speed sensor (315) for detecting the ground environment, a light intensity sensor (316) for detecting the light intensity and a noise sensor (317) for detecting noise.

7. A fast scaling system for graphic image conversion according to claim 1, characterized by: the auxiliary equipment module (33) comprises a bird repeller (331) for repelling birds in the target area, a warning device (332) for repelling ground animals in the target area, and an isolation belt (333) for marking the boundary position of the target area.

8. A fast scaling system for graphic image conversion according to claim 1, characterized by: the measurement and implementation flow (4) comprises the following steps:

the method comprises the following steps: calculating the specific transit time of the aircraft, inquiring the total cloud cover above a target ground in the transit time according to weather forecast of a weather department, and selecting and determining the time of the total cloud cover between 0 and 1 as calibration time;

step two: selecting three calibration targets (1) in the calibration farm, wherein the three calibration targets are a rectangular farmland (11) for planting field crops, a forest land (12) with a definite boundary for planting trees and a circular water storage pool (13) for irrigating the farmland, the altitude drop of the rectangular farmland (11) is less than one meter, and the types of the trees planted in the forest land (12) area are the same;

step three: setting isolation belts (333) at the regional boundaries of the three calibration targets (1) for marking the position of the regional boundaries of the targets, and setting a bird repeller (331) and a warning device (332) at the regional boundaries of the calibration targets (1) to repel all birds and ground walking animals in the target regions;

step four: the atmospheric aerosol optical thickness value of the calibration environment (2) is obtained by measuring through a sun photometer (310) of the environment data acquisition module (31), measuring the ozone content value in the atmosphere of the calibration environment (2) by an ozone detector (311), the water content and the particulate matter content value in the atmosphere of the calibration environment (2) are measured by an atmospheric environment sensor (312), the temperature value of the calibration environment (2) is measured by a temperature sensor (313), the humidity value of the calibration environment (2) is measured by a humidity sensor (314), the wind speed value of the calibration environment (2) is measured by a wind speed sensor (315), the illumination intensity value of the calibration environment (2) is obtained by measuring through an illumination sensor (316), measuring by a noise sensor (317) to obtain a noise intensity value of the calibration environment (2), and transmitting each measured data to a ground service station through a 3G/4G network;

step five: the multi-rotor unmanned aerial vehicle (322) carrying the calibration ground object spectral data acquisition module (32) is controlled to operate to drive the ground object imaging spectrometer (321) to respectively operate to the upper part of the calibration target (1), and measures the distance between the entrance pupil of the ground object imaging spectrometer (321) and the calibration target (1) through the distance sensor (326), so that the ground object imaging spectrometer (321) respectively hovers at the fixed positions above the three calibration targets (1), and starting the ground object imaging spectrometer (321) to measure the spectral data of the calibration target (1), and the attitude position of the ground object imaging spectrometer (321) is obtained through the attitude sensor (325), and the posture of the ground object imaging spectrometer (321) is changed through the connecting platform (323), acquiring a plurality of groups of data, and transmitting the measured data to a ground service station through a 3G/4G network;

step six: and analyzing and sorting the data obtained in the fourth step and the data obtained in the fifth step through computer equipment, then bringing the obtained and calculated data and parameters into an atmospheric radiation transmission model, calculating the radiation brightness when the remote sensor enters the pupil, calculating a scaling coefficient, and performing error analysis according to the calculation result.

Technical Field

The invention relates to the field of agriculture, in particular to a quick calibration system for graphic image conversion.

Background

The remote sensor is an instrument for remotely detecting electromagnetic waves radiated or reflected by ground objects and the environment, in agricultural application, a remote sensing technology can be utilized to monitor crop information such as crop area, growth situation, yield estimation, soil moisture content, plant diseases and insect pests and the like, the development of agriculture is facilitated, and in the process of obtaining image information by the remote sensor, due to the limitation of the precision of the remote sensor and the influence of atmospheric scattering on electromagnetic wave transmission, the spectral data of the ground objects obtained by the remote sensor is deviated from the actual spectral data, so that the remote sensor needs to be calibrated regularly to obtain accurate ground image information.

In the calibration process, not only a standard calibration target needs to be built, but also various detection devices need to be arranged in a calibration field in advance by ground workers, so that a large amount of ground environment data can be measured synchronously when a remote sensor crosses the border, but in the actual operation process, the establishment of the standard target in a farm is unrealistic, and for the acquisition of the environment data, due to the fact that the devices are various in types and are distributed, great difficulty is brought to the acquisition of the data, and the synchronous and accurate environment data is difficult to acquire in the actual operation.

Disclosure of Invention

The invention mainly aims to provide a rapid calibration system for graphic image conversion, which is characterized in that an environment data acquisition module, a calibration ground object spectral data acquisition module and an auxiliary equipment module are arranged to acquire accurate data required in a calibration process, three typical calibration targets are selected in a farm area, an unmanned aerial vehicle is adopted to carry a near-ground remote sensor to measure the ground in real time under a natural environment, and the obtained ground environment data and the existing calculation method are used to calibrate the remote sensor, so that the problems in the background technology can be effectively solved.

In order to achieve the purpose, the invention adopts the technical scheme that: the utility model provides a quick calibration system for graphic image conversion, includes calibration target, calibration environment, calibration hardware equipment and measurement and implementation flow, calibration hardware equipment includes environmental data acquisition module, calibration surface feature spectral data acquisition module, auxiliary assembly module, data processing module and data transport module, calibration surface feature spectral data acquisition module is including the surface feature imaging spectrometer that is used for surface feature spectral data to detect, be used for carrying on the many rotor unmanned aerial vehicle of surface feature imaging spectrometer, be used for the surface feature imaging spectrometer and the platform that is connected of many rotor unmanned aerial vehicle, the inboard rotation of platform of connection is connected with the surface feature imaging spectrometer.

Further, connection platform upper end fixedly connected with undercarriage, undercarriage upper end and many rotor unmanned aerial vehicle fixed connection, the upper end fixedly connected with attitude sensor of ground feature imaging spectrometer, and the income pupil department outside of ground feature imaging spectrometer is equipped with distance sensor, and ground feature imaging spectrometer can rotate inside connection platform to can change the gesture of ground feature imaging spectrometer, and detect out the gesture position of ground feature imaging spectrometer and the distance between the income pupil department and the ground feature of ground feature imaging spectrometer through attitude sensor and distance sensor, be convenient for obtain the different data of multiunit and carry out comparative analysis, improve measurement accuracy, reduce measuring error.

Further, the connecting platform comprises a connecting sleeve and a ball head seat, the upper end of the connecting sleeve is fixedly connected with the landing gear of the multi-rotor unmanned aerial vehicle through threads, the lower end of the connecting sleeve is fixedly connected with the ball head seat, the middle part of the upper end of the ball head seat is fixedly connected with a plug through threads, the lower end of the plug is rotatably connected with a ball head rod, the outer side of the ball head rod is rotatably connected with balls, the outer side of each ball is rotatably connected with the ball head seat, the ball head seat and the ball head rod are rotatably connected through the balls, the ball head rod can be always kept in a vertical state under the self gravity action of the ground object imaging spectrometer, the lower end of the ball head rod is fixedly connected with a fixing sleeve through threads, a first micro motor is fixedly connected inside the fixing sleeve, the first micro motor can drive the mounting frame and the ground object imaging spectrometer to freely rotate in the horizontal direction, and the tail end of a main shaft of the first micro motor is fixedly connected with the mounting frame, the middle part of the front end of the mounting frame is fixedly connected with a second micro motor, the tail end of a main shaft of the second micro motor is fixedly connected with the ground object imaging spectrometer, and the second micro motor drives the ground object imaging spectrometer to automatically swing in the vertical direction.

Further, the calibration target comprises a rectangular farmland for planting field crops, a forest land with a definite boundary for planting trees and a circular water storage tank for irrigating the farmland, the calibration targets of three different types are arranged, so that all terrains in the farm can be conveniently covered, the discrimination rate of different terrains in the farm is improved, the altitude drop of the rectangular farmland is less than one meter, the interference of the terrain factors on the calibration result can be eliminated by the arrangement, the calibration precision is improved, the types of the trees planted in the forest region are the same, the reflectivity of the same type of trees is the same, the heights of the trees are close under the same growing environment, the interference of the height factors on the calibration result can be eliminated, and the calibration precision is improved.

Furthermore, the calibration environment is the environment where the calibration target is located when the remote sensor crosses the border, the total cloud cover of the calibration environment is between 0 and 1, and the total cloud cover between 0 and 1 is clear weather in meteorology, so that the satellite can find the calibration target conveniently, and the calibration precision is improved.

Further, the environmental data acquisition module comprises a sun photometer for detecting the optical thickness of the atmospheric aerosol, an ozone detector for detecting the content of ozone in the atmosphere, an atmospheric environment sensor for detecting the content of water and particles in the atmosphere, a temperature sensor for detecting the ground environment, a humidity sensor for detecting the ground environment, a wind speed sensor for detecting the ground environment, a light intensity sensor for detecting the light intensity and a noise sensor for detecting the noise.

Furthermore, the auxiliary equipment module comprises a bird repeller for repelling birds in the target area, a warning device for repelling ground animals in the target area and an isolation belt for marking the boundary position of the target area, so that external interference in the calibration process is eliminated, the boundary position of the calibration target is convenient to find, and the calibration target area is convenient to determine.

Further, the measurement and implementation process includes the following steps:

the method comprises the following steps: calculating the specific transit time of the aircraft, inquiring the total cloud cover above a target ground in the transit time according to weather forecast of a weather department, and selecting and determining the time of the total cloud cover between 0 and 1 as calibration time;

step two: selecting three calibration targets in the calibration farm, wherein the three calibration targets are a rectangular farmland for field crop planting, a forest land with a definite boundary for tree planting and a circular water storage tank for farmland irrigation, the elevation fall of the rectangular farmland is less than one meter, and the types of trees planted in the forest land area are the same;

step three: setting isolation zones at the boundaries of the three calibration target areas for marking the boundary positions of the target areas, and setting bird repellers and warning devices at the boundaries of the calibration target areas to repel all birds and ground walking animals in the target areas;

step four: the method comprises the steps of obtaining an optical thickness value of atmospheric aerosol of a calibration environment through measurement of a sunlight meter of an environment data obtaining module, obtaining an ozone content value in atmosphere of the calibration environment through measurement of an ozone detector, obtaining a water content value and a particulate content value in atmosphere of the calibration environment through measurement of an atmospheric environment sensor, obtaining a temperature value of the calibration environment through measurement of a temperature sensor, obtaining a humidity value of the calibration environment through measurement of a humidity sensor, obtaining a wind speed value of the calibration environment through measurement of a wind speed sensor, obtaining an illumination intensity value of the calibration environment through measurement of an illumination sensor, obtaining a noise intensity value of the calibration environment through measurement of a noise sensor, conducting modularization processing on various sensor devices for detecting environment data, and installing each sensor on mobile equipment, such as a movable cart or a modified carriage, so that the environment data obtaining module becomes a portable or movable environment data obtaining terminal, after the environmental data are acquired, synchronously transmitting all the measured data to a ground service station in a 3G/4G network form;

step five: the multi-rotor unmanned aerial vehicle with the calibration ground object spectral data acquisition module is controlled to operate, the moving ground object imaging spectrometer is respectively operated to the space above three calibration targets, the distance between the entrance pupil of the ground object imaging spectrometer and the calibration targets is measured through a distance sensor, the ground object imaging spectrometer is respectively suspended at fixed positions above the three calibration targets, the ground object imaging spectrometer is started to measure spectral data of the calibration targets, the attitude position of the ground object imaging spectrometer is acquired through an attitude sensor, the attitude of the ground object imaging spectrometer is changed through a connecting platform to acquire multiple groups of data, and the measured data are transmitted to a ground service station through a 3G/4G network;

step six: analyzing and sorting the data obtained in the fourth step and the data obtained in the fifth step through computer equipment, then bringing the obtained and calculated data and parameters into an atmospheric radiation transmission model, obtaining the radiation brightness when the remote sensor enters the pupil, calculating a scaling coefficient, performing error analysis according to the calculation result, and discussing the error generation reason according to the analysis result.

Compared with the prior art, the rapid calibration system provided by the invention selects three typical calibration targets in a farm area, and calibrates the remote sensor in a ground real-time measurement mode under a natural environment, so that the calibration speed can be increased, the calibration process can be simplified, and the synchronization and the accuracy of calibration can be improved.

Compared with the prior art, the rapid calibration system is provided with an environmental data acquisition module, the environmental data acquisition module comprises a sun photometer for detecting the optical thickness of the atmospheric aerosol, an ozone detector for detecting the content of ozone in the atmosphere, an atmospheric environment sensor for detecting the content of water and particles in the atmosphere, a temperature sensor for detecting the ground environment, a humidity sensor for detecting the ground environment, a wind speed sensor for detecting the ground environment, a light intensity sensor for detecting the light intensity, a noise sensor for detecting the noise and the like, the sensors are mature technologies, the existing products can be directly purchased, the various sensor devices for detecting the environmental data are subjected to modularized processing, and the sensors are installed on mobile equipment, such as a movable cart or a modified carriage, the portable environment data acquisition terminal can be portable or can move by oneself, the problem that data acquisition is asynchronous due to the fact that various devices are dispersedly arranged in the past is solved, the device can be conveniently arranged, carried and moved in actual operation, rolling switching of detection devices in various detection fields is facilitated, various data such as the ground and the atmospheric environment of a calibration target can be synchronously acquired, reference data are provided for calibration of the calibration target, and accuracy of results is improved conveniently.

Compared with the prior art, the rapid calibration system has the advantages that the calibration ground object spectral data acquisition module is arranged, the ground object imaging spectrometer can be suspended to a specified height by means of the multi-rotor unmanned aerial vehicle, the spectral data of the ground object at the calibration target position can be acquired, meanwhile, the landing gear can drive the ground object imaging spectrometer to rotate in the connecting platform in operation, so that the inclination angle of the ground object imaging spectrometer can be changed, the inclination angle of the ground object imaging spectrometer and the distance between the entrance pupil of the ground object imaging spectrometer and the ground object can be detected by the attitude sensor and the distance sensor, the data of multiple groups of different angles of the ground object at the target position can be conveniently acquired, the later-stage comparative analysis can be conveniently carried out, abnormal data can be found and discharged, the accuracy of the measured data is improved, and the measurement error is reduced.

Compared with the prior art, the rapid calibration system has the advantages that the ball head seat and the ball head rod are rotationally connected through the balls in the flying process of the unmanned aerial vehicle through the connecting platform, the ball head rod can be always kept in the vertical state under the action of the gravity of the ground object imaging spectrometer, so that the ground object imaging spectrometer is perpendicular to the ground, the mounting frame and the ground object imaging spectrometer can be driven to freely rotate in the horizontal direction through the arranged micro motor I, the ground object imaging spectrometer can be driven to automatically swing in the vertical direction through the micro motor II, the real-time monitoring of the posture of the ground object imaging spectrometer is realized through the posture sensor, the detection signal is sent to the ground control part, the working personnel can adjust the running states of the micro motor I and the micro motor II through the transmitted posture information, and the posture of the ground object imaging spectrometer can be rapidly adjusted, so as to quickly acquire the required data.

Drawings

In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the technical description of the present invention will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.

FIG. 1 is a flow chart of the overall structure of a fast scaling system for graphic image conversion according to the present invention;

FIG. 2 is a schematic diagram of a calibration surface feature spectral data acquisition module of the fast calibration system for graphic image conversion according to the present invention;

FIG. 3 is a schematic diagram of an installation structure of a connection platform of a rapid scaling system for graphic image conversion according to the present invention;

FIG. 4 is an exploded view of the connection platform of the fast scaling system for graphic image transformation according to the present invention;

FIG. 5 is a schematic diagram of a mounting structure of a ball bar of a fast scaling system for graphic image conversion according to the present invention;

FIG. 6 is a schematic diagram of an installation structure of an environmental data acquisition module of a fast scaling system for graphic image conversion according to the present invention.

In the figure: 1. calibrating a target; 11. a rectangular farmland; 12. a forest land; 13. a water storage tank; 2. calibrating the environment; 3. scaling the hardware device; 31. an environmental data acquisition module; 310. a sun photometer; 311. an ozone detector; 312. an atmospheric environment sensor; 313. a temperature sensor; 314. a humidity sensor; 315. a wind speed sensor; 316. a light intensity sensor; 317. a noise sensor; 32. a calibration ground object spectral data acquisition module; 321. a ground object imaging spectrometer; 322. a multi-rotor unmanned aerial vehicle; 323. connecting the platform; 32a, a connecting sleeve; 32b, a ball seat; 32c, a plug; 32d, a ball rod; 32e, a ball; 32f, fixing the sleeve; 32g, a first micro motor; 32h, mounting frames; 32i and a micro motor II; 324. a landing gear; 325. an attitude sensor; 326. a distance sensor; 33. an auxiliary device module; 331. a bird repeller; 332. a warning device; 333. an isolation zone; 34. a data processing module; 35. a data transfer module; 4. and (5) measuring and implementing the process.

Detailed Description

The present invention will be further described with reference to the following embodiments, wherein certain elements may be omitted, enlarged or reduced in size, and do not represent actual product dimensions, in order to better explain the embodiments of the present invention, and all other embodiments obtained by those skilled in the art without inventive step are within the scope of the present invention.

Example 1

As shown in fig. 1-6, a fast calibration system for graphic image conversion includes a calibration target 1, a calibration environment 2, a calibration hardware device 3 and a measurement and implementation process 4, the calibration hardware device 3 includes an environment data acquisition module 31, a calibration feature spectral data acquisition module 32, an auxiliary device module 33, a data processing module 34 and a data transmission module 35, the calibration feature spectral data acquisition module 32 includes a feature imaging spectrometer 321 for feature spectral data detection, a multi-rotor unmanned aerial vehicle 322 for carrying the feature imaging spectrometer 321, a connection platform 323 for connecting the feature imaging spectrometer 321 with the multi-rotor unmanned aerial vehicle 322, and the ground imaging spectrometer 321 is rotatably connected inside the connection platform 323.

The calibration target 1 comprises a rectangular farmland 11 for field crop planting, a woodland 12 with a definite boundary for tree planting and a circular water storage tank 13 for farmland irrigation, the elevation fall of the rectangular farmland 11 is less than one meter, and the types of trees planted in the region of the woodland 12 are the same.

The calibration environment 2 is the environment of the calibration target 1 when the remote sensor crosses the border, and the total cloud amount of the calibration environment 2 is between 0 and 1.

By adopting the technical scheme: by selecting three typical calibration targets 1 in a farm area and calibrating the remote sensor in a ground real-time measurement mode in a natural environment, the calibration speed can be increased, the calibration process can be simplified, and the synchronization and the accuracy of calibration can be improved.

Example 2

As shown in fig. 1-6, a fast calibration system for graphic image conversion includes a calibration target 1, a calibration environment 2, a calibration hardware device 3 and a measurement and implementation process 4, the calibration hardware device 3 includes an environment data acquisition module 31, a calibration feature spectral data acquisition module 32, an auxiliary device module 33, a data processing module 34 and a data transmission module 35, the calibration feature spectral data acquisition module 32 includes a feature imaging spectrometer 321 for feature spectral data detection, a multi-rotor unmanned aerial vehicle 322 for carrying the feature imaging spectrometer 321, a connection platform 323 for connecting the feature imaging spectrometer 321 with the multi-rotor unmanned aerial vehicle 322, and the ground imaging spectrometer 321 is rotatably connected inside the connection platform 323.

The environment data acquisition module 31 comprises a solar photometer 310 for detecting the optical thickness of the atmospheric aerosol, an ozone detector 311 for detecting the content of ozone in the atmosphere, an atmospheric environment sensor 312 for detecting the content of water and particulate matters in the atmosphere, a temperature sensor 313 for detecting the ground environment, a humidity sensor 314 for detecting the ground environment, an air speed sensor 315 for detecting the ground environment, a light intensity sensor 316 for detecting the light intensity, and a noise sensor 317 for detecting noise.

By adopting the technical scheme: the optical thickness value of the atmospheric aerosol of the calibration environment 2 is obtained by measuring through a sunlight meter 310 of an environment data acquisition module 31, the ozone content value in the atmosphere of the calibration environment 2 is obtained by measuring through an ozone detector 311, the water content and particulate matter content value in the atmosphere of the calibration environment 2 are obtained by measuring through an atmospheric environment sensor 312, the temperature value of the calibration environment 2 is obtained by measuring through a temperature sensor 313, the humidity value of the calibration environment 2 is obtained by measuring through a humidity sensor 314, the wind speed value of the calibration environment 2 is obtained by measuring through a wind speed sensor 315, the illumination intensity value of the calibration environment 2 is obtained by measuring through an illumination sensor 316, the noise intensity value of the calibration environment 2 is obtained by measuring through a noise sensor 317, and each measured data is transmitted to a ground service station through a 3G/4G network, and various sensor devices for detecting environment data are subjected to modularization processing, and install each sensor on the carriage of reforming transform, as shown in fig. 6, make it become the portable or environmental data that can move by oneself and obtain the terminal, solved in the past the problem that multiple equipment scatter arranges and lead to the data acquisition asynchronous, not only be convenient for the arrangement, carry and remove of equipment in the actual operation, be favorable to the check out test set to carry on the roll switch in each detection place, can accurately and comprehensively obtain various data such as air, ground and atmospheric environment of calibration target 1 department simultaneously, be convenient for improve the accuracy of result.

Example 3

As shown in fig. 1-6, a fast calibration system for graphic image conversion includes a calibration target 1, a calibration environment 2, a calibration hardware device 3 and a measurement and implementation process 4, the calibration hardware device 3 includes an environment data acquisition module 31, a calibration feature spectral data acquisition module 32, an auxiliary device module 33, a data processing module 34 and a data transmission module 35, the calibration feature spectral data acquisition module 32 includes a feature imaging spectrometer 321 for feature spectral data detection, a multi-rotor unmanned aerial vehicle 322 for carrying the feature imaging spectrometer 321, a connection platform 323 for connecting the feature imaging spectrometer 321 with the multi-rotor unmanned aerial vehicle 322, and the ground imaging spectrometer 321 is rotatably connected inside the connection platform 323.

The inboard of connecting platform 323 is equipped with undercarriage 324, and undercarriage 324 upper end and many rotor unmanned aerial vehicle 322 fixed connection, the upper end fixedly connected with attitude sensor 325 of ground object imaging spectrometer 321, and the entrance pupil department outside of ground object imaging spectrometer 321 is equipped with distance sensor 326.

By adopting the technical scheme: through the calibration surface feature spectral data acquisition module 32 that is equipped with, can make surface feature imaging spectrometer 321 hover to appointed height with the help of many rotor unmanned aerial vehicle 322, and obtain the spectral data of calibration target 1 department surface feature, surface feature imaging spectrometer 321 can rotate inside connecting platform 323, thereby can change the gesture of hovering of surface feature imaging spectrometer 321, and detect out the gesture information of surface feature imaging spectrometer 321 and the distance between the entrance pupil department and the surface feature of surface feature imaging spectrometer 321 through attitude sensor 325 and distance sensor 326, be convenient for obtain the different data of multiunit and carry out comparative analysis, improve measurement accuracy, reduce measuring error.

Example 4

As shown in fig. 1-6, a fast calibration system for graphic image conversion includes a calibration target 1, a calibration environment 2, a calibration hardware device 3 and a measurement and implementation process 4, the calibration hardware device 3 includes an environment data acquisition module 31, a calibration feature spectral data acquisition module 32, an auxiliary device module 33, a data processing module 34 and a data transmission module 35, the calibration feature spectral data acquisition module 32 includes a feature imaging spectrometer 321 for feature spectral data detection, a multi-rotor unmanned aerial vehicle 322 for carrying the feature imaging spectrometer 321, a connection platform 323 for connecting the feature imaging spectrometer 321 with the multi-rotor unmanned aerial vehicle 322, and the ground imaging spectrometer 321 is rotatably connected inside the connection platform 323.

The inboard of connecting platform 323 is equipped with undercarriage 324, and undercarriage 324 upper end and many rotor unmanned aerial vehicle 322 fixed connection, the upper end fixedly connected with attitude sensor 325 of ground object imaging spectrometer 321, and the entrance pupil department outside of ground object imaging spectrometer 321 is equipped with distance sensor 326.

The connecting platform 323 comprises a connecting sleeve 32a and a ball head seat 32b, the upper end of the connecting sleeve 32a is fixedly connected with the landing gear 324 of the multi-rotor unmanned aerial vehicle 322 through threads, the lower end of the connecting sleeve 32a is fixedly connected with the ball head seat 32b, the middle part of the upper end of the ball head seat 32b is fixedly connected with a plug 32c through threads, the lower end of the plug 32c is rotatably connected with a ball head rod 32d, the outer side of the ball head rod 32d is rotatably connected with a ball 32e, the outer side of the ball 32e is rotatably connected with the ball head seat 32b, the lower end of the ball head rod 32d is fixedly connected with a fixing sleeve 32f through threads, a first micro motor 32g is fixedly connected inside the fixing sleeve 32f, a first micro motor 32g is fixedly connected with a mounting rack 32h, a second micro motor 32i is fixedly connected with the middle part of the front end of the mounting rack 32h, and the tail end of the main shaft of the second micro motor 32i is fixedly connected with the ground imaging spectrometer 321.

By adopting the technical scheme: in the flying process of the multi-rotor unmanned aerial vehicle 322, the ball head seat 32b and the ball head rod 32d are rotatably connected through a ball 32e, the ball head rod 32d can be always kept in a vertical state under the action of the self gravity of the ground object imaging spectrometer 321, so that the ground object imaging spectrometer 321 is in a vertical state with the ground, meanwhile, the mounting frame 32h and the ground object imaging spectrometer 321 can be driven to freely rotate in the horizontal direction through the arranged first micro motor 32g, the second micro motor 32i can drive the ground object imaging spectrometer 321 to automatically swing in the vertical direction, the attitude of the ground object imaging spectrometer 321 can be monitored in real time through the attitude sensor 325, a detection signal is sent to a ground control part, a worker adjusts the running states of the first micro motor 32g and the second micro motor 32i through transmitted attitude information, and can quickly adjust the attitude of the ground object imaging spectrometer 321, so as to quickly acquire the required data.

It should be noted that the invention is a rapid calibration system for graphic image conversion, when in use, firstly calculating the specific transit time of an aircraft, inquiring the total cloud amount above a target land in the transit time according to the weather forecast of a weather department, selecting and determining the time of the total cloud amount between 0 and 1 as the calibration time, selecting three calibration targets 1 in the calibration farm, namely a rectangular farmland 11 for field crop planting, a forest land 12 for tree planting with a definite boundary and a circular water storage tank 13 for farmland irrigation, wherein the altitude drop of the rectangular farmland 11 is less than one meter, the types of trees planted in the forest land 12 area are the same, arranging an isolation belt 333 for marking the boundary position of the target area at the boundary of the three calibration targets 1, and arranging a bird repeller 331 and a warning device 332 at the boundary of the calibration target 1 area, all birds and ground walking animals in a target area are repelled, the optical thickness value of the atmospheric aerosol of the calibration environment 2 is obtained by measuring through a sunlight meter 310 of an environment data acquisition module 31, the ozone content value in the atmosphere of the calibration environment 2 is obtained by measuring through an ozone detector 311, the water content value and the particulate matter content value in the atmosphere of the calibration environment 2 are obtained by measuring through an atmospheric environment sensor 312, the temperature value of the calibration environment 2 is obtained by measuring through a temperature sensor 313, the humidity value of the calibration environment 2 is obtained by measuring through a humidity sensor 314, the wind speed value of the calibration environment 2 is obtained by measuring through a wind speed sensor 315, the illumination intensity value of the calibration environment 2 is obtained by measuring through an illumination sensor 316, the noise intensity value of the calibration environment 2 is obtained by measuring through a noise sensor 317, and all measured data are transmitted to a ground service station through a 3G/4G network, the multi-rotor unmanned aerial vehicle 322 of the calibration ground object spectral data acquisition module 32 is controlled to operate to drive the ground object imaging spectrometer 321 to respectively operate to the upper space of the calibration target 1, the distance between the entrance pupil of the ground object imaging spectrometer 321 and the calibration target 1 is measured through the distance sensor 326, the ground object imaging spectrometer 321 is respectively suspended at fixed positions above the three calibration targets 1, the ground object imaging spectrometer 321 is started to measure the spectral data of the calibration target 1, after the detection is finished, the undercarriage 324 is started, the undercarriage 324 drives the ground object imaging spectrometer 321 to rotate, the inclination angle of the ground object imaging spectrometer 321 is recorded through the attitude sensor 325, the ground object imaging spectrometer 321 is started to measure the spectral data of the calibration target 1 under the inclination angle, the measured data is transmitted to the ground service station through a 3G/4G network, and the data obtained in the fourth step and the fifth step are analyzed and sorted through computer equipment, and then, bringing the obtained and calculated data and parameters into an atmospheric radiation transmission model, solving the radiation brightness of the satellite remote sensor when entering the pupil, calculating a scaling coefficient, performing error analysis according to the calculation result, and discussing the error generation reason according to the analysis result.

The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.