阅读说明：本技术 一种无人机遥感城市部件数据采集方法 (Unmanned aerial vehicle remote sensing urban component data acquisition method ) 是由 郑杰 彭芳 魏垠 马肖玲 陈高亮 王会强 李岩 李天权 何玉存 屈凌波 杨冉 于 2021-08-16 设计创作，主要内容包括：本发明公开了一种无人机遥感城市部件数据采集方法,包括射频接收模块、摄像头、无人机、通信模块、控制模块、服务器和设备终端,其特征在于：所述无人机通过服务器与所述设备终端建立通信,所述无人机通过通信模块与所述设备终端通信,所述无人机采集到的数据传输至射频接收模块,所述控制模块通过所述通信模块与所述终端设备通信连接；本发明具有智能化程度高、减少工作强度、提高工作效率、减少投入成本、实用性强、便于推广使用的优点。(The invention discloses a method for collecting data of remote sensing urban parts of an unmanned aerial vehicle, which comprises a radio frequency receiving module, a camera, the unmanned aerial vehicle, a communication module, a control module, a server and an equipment terminal, and is characterized in that: the unmanned aerial vehicle establishes communication with the equipment terminal through a server, the unmanned aerial vehicle communicates with the equipment terminal through a communication module, data acquired by the unmanned aerial vehicle are transmitted to a radio frequency receiving module, and the control module is in communication connection with the terminal equipment through the communication module; the intelligent control system has the advantages of high intelligent degree, reduced working strength, improved working efficiency, reduced input cost, strong practicability and convenient popularization and use.)

1. The utility model provides an unmanned aerial vehicle remote sensing city part data acquisition method, includes radio frequency receiving module, camera, unmanned aerial vehicle, communication module, control module, server and equipment terminal, its characterized in that: the unmanned aerial vehicle establishes communication with the equipment terminal through a server, the unmanned aerial vehicle communicates with the equipment terminal through a communication module, data acquired by the unmanned aerial vehicle are transmitted to a radio frequency receiving module, and the control module is in communication connection with the terminal equipment through the communication module;

the method comprises the following steps:

step 1, building a three-dimensional model through unmanned aerial vehicle carrying camera low-altitude oblique photogrammetry, adopting high-definition image data, analyzing and interpreting by using three characteristics of color, shape and position of a target ground object in a remote sensing image, and building interpretation mark data.

And 2, collecting the components on the three-dimensional model.

And 3, superposing the three-dimensional model and the urban parts acquired on the ortho-image on the image in a way that 1: on a map of 500 scales.

And 4, performing field check in the field, supplementing the extended attributes of the components, and investigating the missing components with wrong symbol attributes.

And 5, collecting components which cannot extract attributes in indoor operation, and supplementing the components.

And 6, performing digital conversion on the measurement result, and recording the result into a database.

2. The unmanned aerial vehicle remote sensing city component data acquisition method according to claim 1, characterized in that: the radio frequency receiving module, the camera and the communication module are respectively connected with the control module.

3. The unmanned aerial vehicle remote sensing city component data acquisition method according to claim 1, characterized in that: in the step 3, the processed image classification chart is manually and visually interpreted, each component type is checked, and the automatically classified wrong patches are collected or the boundaries are sketched again and stored as a universal vector format file.

4. The unmanned aerial vehicle remote sensing city component data acquisition method according to claim 1, characterized in that: the communication module is a 4G module or a 5G module, is connected with an antenna and an SIM card, and is connected with the antenna through a radio frequency adapter.

5. The unmanned aerial vehicle remote sensing city component data acquisition method according to claim 1, characterized in that: data transmission that the camera was gathered extremely on the unmanned aerial vehicle behind the radio frequency receiving module, control module still to the radio frequency receiving module transmission feedback signal.

6. The unmanned aerial vehicle remote sensing city component data acquisition method according to claim 1, characterized in that: the camera adopts an embedded video server, integrates an intelligent behavior recognition algorithm, and can recognize and judge components in a picture scene.

Technical Field

The invention relates to the technical field of remote sensing, in particular to a method for collecting data of an unmanned aerial vehicle remote sensing urban part.

Background

In recent years, along with the rapid development of the low-altitude aerial photography technology of the unmanned aerial vehicle of the computer technology, the aerial remote sensing technology, the flight control technology and the geographic information system technology, the low-altitude aerial photography technology of the unmanned aerial vehicle is mature day by day, and the aerial high-resolution image of the unmanned aerial vehicle has both geometric accuracy and image characteristics, so that the unmanned aerial vehicle has the advantages of high imaging speed, low cost investment, high relative accuracy, rich information, intuition and reality, and is widely applied to the fields of resource investigation, aerial photography measurement, meteorological monitoring, emergency handling and the like at present;

the general component survey has an important position in digital city management construction, comprehensive and accurate city component data is the foundation of refined city management, manual measuring equipment acquisition and transferring modes are generally adopted in the process of developing the general component survey in all places at present, the traditional manual measurement is large in acquisition workload, low in efficiency and high in input cost, and the problem of component information omission exists, so that the unmanned aerial vehicle remote sensing city component data acquisition method is provided.

Disclosure of Invention

The invention aims to provide the unmanned aerial vehicle remote sensing urban part data acquisition method which has the advantages of high intelligent degree, reduced working strength, improved working efficiency, reduced investment cost, strong practicability and convenience in popularization and use, and solves the problems in the prior art.

The above object of the present invention is achieved by the following technical solutions: an unmanned aerial vehicle remote sensing city component data acquisition method comprises a radio frequency receiving module, a camera, an unmanned aerial vehicle, a communication module, a control module, a server and a device terminal, wherein the unmanned aerial vehicle establishes communication with the device terminal through the server, the unmanned aerial vehicle communicates with the device terminal through the communication module, data acquired by the unmanned aerial vehicle is transmitted to the radio frequency receiving module, and the control module is in communication connection with the terminal device through the communication module;

the method comprises the following steps:

step 1, building a three-dimensional model through unmanned aerial vehicle carrying camera low-altitude oblique photogrammetry, adopting high-definition image data, analyzing and interpreting by using three characteristics of color, shape and position of a target ground object in a remote sensing image, and building interpretation mark data.

And 2, collecting the components on the three-dimensional model.

And 3, superposing the three-dimensional model and the urban parts acquired on the ortho-image on the image in a way that 1: on a map of 500 scales.

And 4, performing field check in the field, supplementing the extended attributes of the components, and investigating the missing components with wrong symbol attributes.

And 5, collecting components which cannot extract attributes in indoor operation, and supplementing the components.

And 6, performing digital conversion on the measurement result, and recording the result into a database.

The invention is further configured to: the radio frequency receiving module, the camera and the communication module are respectively connected with the control module.

By adopting the technical scheme, the radio frequency receiving module is matched with the camera for use, so that the part characteristics in the scene can be conveniently identified.

The invention is further configured to: in the step 3, the processed image classification chart is manually and visually interpreted, each component type is checked, and the automatically classified wrong patches are collected or the boundaries are sketched again and stored as a universal vector format file.

By adopting the technical scheme, the collected information is manually screened, the plaque with automatic classification errors is eliminated, and the accuracy of the part information collection is improved.

The invention is further configured to: the communication module is a 4G module or a 5G module, is connected with an antenna and an SIM card, and is connected with the antenna through a radio frequency adapter.

Through adopting above-mentioned technical scheme, can gather each item performance data of unmanned aerial vehicle operation in-process to send the equipment terminal for the ground station judges to type into the acquisition information according to unmanned aerial vehicle.

The invention is further configured to: data transmission that the camera was gathered extremely on the unmanned aerial vehicle behind the radio frequency receiving module, control module still to the radio frequency receiving module transmission feedback signal.

By adopting the technical scheme, the feedback signal is transmitted to the radio frequency receiving module, so that the condition that the unmanned aerial vehicle misses a certain radio frequency tag can be effectively avoided.

The invention is further configured to: the camera adopts an embedded video server, integrates an intelligent behavior recognition algorithm, and can recognize and judge components in a picture scene.

By adopting the technical scheme, the ground staff can receive the video information acquired by the unmanned aerial vehicle in real time, automatically identify and judge the components in the scene, and improve the intelligent use degree.

In conclusion, the beneficial technical effects of the invention are as follows:

1. according to the method for collecting the data of the unmanned aerial vehicle remote sensing urban parts, structurally, high-resolution orthographic images collected by aerial photography of the unmanned aerial vehicle are utilized, different types of part elements can be accurately collected, the part elements which cannot be collected can be supplemented and perfected by combining with field operation painting, the data quality is fully guaranteed compared with a conventional part collecting method, closed-loop quality control can be realized, information is more visual and abundant, and non-professional personnel can conveniently check the data;

2. structurally, transmit feedback signal to radio frequency receiving module, can avoid appearing unmanned aerial vehicle to the situation emergence of certain radio frequency label hourglass inspection effectively, the image covers information on the spot completely, can regard as follow-up repair data directly to extract, has accurate audio-visual advantage.

Drawings

FIG. 1 is a schematic structural diagram of a working principle of a method for collecting data of an unmanned aerial vehicle remote sensing city component;

FIG. 2 is a schematic diagram of a component connection structure of the data acquisition method of the unmanned aerial vehicle remote sensing city component.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.

In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.

Referring to fig. 1 and 2, the system comprises a radio frequency receiving module, a camera, an unmanned aerial vehicle, a communication module, a control module, a server and a device terminal, wherein the unmanned aerial vehicle establishes communication with the device terminal through the server, the unmanned aerial vehicle communicates with the device terminal through the communication module, data acquired by the unmanned aerial vehicle is transmitted to the radio frequency receiving module, and the control module is in communication connection with the terminal device through the communication module;

the method comprises the following steps:

step 1, building a three-dimensional model through unmanned aerial vehicle carrying camera low-altitude oblique photogrammetry, adopting high-definition image data, analyzing and interpreting by using three characteristics of color, shape and position of a target ground object in a remote sensing image, and building interpretation mark data.

And 2, collecting the components on the three-dimensional model.

And 3, superposing the three-dimensional model and the urban parts acquired on the ortho-image on the image in a way that 1: on a map of 500 scales.

And 4, performing field check in the field, supplementing the extended attributes of the components, and investigating the missing components with wrong symbol attributes.

And 5, collecting components which cannot extract attributes in indoor operation, and supplementing the components.

Step 6, recording the measurement result into a database after digital conversion;

in this embodiment, in the use, unmanned aerial vehicle carries on radio frequency receiving module and camera cooperation to use, be convenient for discern the part characteristic in the scene, the camera adopts embedded video server, intelligent action recognition algorithm has been integrated, can discern the part in the picture scene, judge, make ground staff can real-timely receive the video information that unmanned aerial vehicle gathered, utilize the high resolution orthographic image that unmanned aerial vehicle took photo by plane gathered, can accurately gather different grade type part key element, can be through drawing with the field regulation to the part key element that can't gather and combine, it is perfect to supply, compare data quality and obtain fully assurance with conventional part collection method.

As shown in fig. 1 and fig. 2, the system comprises a radio frequency receiving module, a camera, an unmanned aerial vehicle, a communication module, a control module, a server and a device terminal, wherein the unmanned aerial vehicle establishes communication with the device terminal through the server, the unmanned aerial vehicle communicates with the device terminal through the communication module, data acquired by the unmanned aerial vehicle is transmitted to the radio frequency receiving module, and the control module is in communication connection with the terminal device through the communication module;

the method comprises the following steps:

step 1, building a three-dimensional model through unmanned aerial vehicle carrying camera low-altitude oblique photogrammetry, adopting high-definition image data, analyzing and interpreting by using three characteristics of color, shape and position of a target ground object in a remote sensing image, and building interpretation mark data.

And 2, collecting the components on the three-dimensional model.

And 3, superposing the three-dimensional model and the urban parts acquired on the ortho-image on the image in a way that 1: on a map of 500 scales.

And 4, performing field check in the field, supplementing the extended attributes of the components, and investigating the missing components with wrong symbol attributes.

And 5, collecting components which cannot extract attributes in indoor operation, and supplementing the components.

Step 6, after the measurement result is digitally converted, the measurement result is recorded into a database

In this embodiment, carry out artifical visual interpretation to the image classification picture after handling, examine each part type, gather or the border is sketched again to the plaque of automatic classification mistake, save for general vector format file, can realize closed loop's quality control, information is more directly perceived, richened, the non professional of being convenient for looks over, to radio frequency receiving module transmission feedback signal, can avoid appearing unmanned aerial vehicle to the condition emergence of certain radio frequency label hourglass inspection effectively, the image covers information on the spot completely, can regard as follow-up repair data directly to extract, accurate audio-visual advantage has.

Referring to fig. 1, the radio frequency receiving module, the camera and the communication module are respectively connected with the control module, and the radio frequency receiving module and the camera are matched for use so as to identify the feature of the component in the scene.

Referring to fig. 1, in step 3, the processed image classification map is manually and visually interpreted, the types of each component are checked, patches with automatic classification errors are collected or the boundaries are sketched again, the patches are stored as a universal vector format file, collected information is manually screened, the patches with automatic classification errors are eliminated, and the accuracy of information collection of the component is improved.

Referring to fig. 1, communication module is 4G module or 5G module, and it is connected with antenna and SIM card, and communication module passes through radio frequency adapter and antenna connection, can gather each item performance data of unmanned aerial vehicle operation in-process to send the equipment terminal for ground station judges to type into information collection according to unmanned aerial vehicle.

Referring to fig. 1, after data transmission that the camera was gathered reaches the radio frequency receiving module on the unmanned aerial vehicle, control module still transmits feedback signal to radio frequency receiving module, can avoid appearing the unmanned aerial vehicle condition emergence of missing the inspection to certain radio frequency label effectively.

Referring to fig. 2, the camera adopts an embedded video server, integrates an intelligent behavior recognition algorithm, and can recognize and judge components in a picture scene, so that ground workers can receive video information acquired by the unmanned aerial vehicle in real time, and can automatically recognize and judge the components in the scene, thereby improving the intelligent use degree.

The implementation principle of the embodiment is as follows:

the invention relates to a method for collecting data of unmanned aerial vehicle remote sensing city parts, wherein in the using process, an unmanned aerial vehicle carries a radio frequency receiving module to be matched with a camera for use, so as to be convenient for identifying the characteristics of the parts in a scene, the camera adopts an embedded video server, integrates an intelligent behavior identification algorithm, can identify and judge the parts in a scene of a picture, so that ground workers can receive video information collected by the unmanned aerial vehicle in real time, accurately collect different types of part elements by utilizing a high-resolution orthographic image collected by the unmanned aerial vehicle, supplement and perfect the part elements which cannot be collected by combining with field operation and drawing, fully ensure the data quality compared with the conventional part collecting method, classify the processed image into a picture, carry out manual visual interpretation, check the types of the parts, collect or re-draw the boundary of automatically classified wrong patches, the storage is a universal vector format file, closed-loop quality control can be achieved, information is more visual and abundant, non-professionals can check conveniently, feedback signals are transmitted to the radio frequency receiving module, the situation that the unmanned aerial vehicle leaks to detect a certain radio frequency tag can be effectively avoided, the image completely covers information on the spot, the information can be directly extracted as follow-up repair data, and the method has the advantages of accuracy and intuition and is used for solving the technical problem existing in the prior art.

While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.