Micro-area image spectrum analysis method for important biological resources
阅读说明:本技术 一种重要生物资源的微区像谱分析方法 (Micro-area image spectrum analysis method for important biological resources ) 是由 万雄 王泓鹏 袁汝俊 于 2019-09-10 设计创作,主要内容包括:本发明公开了一种重要生物资源的微区像谱分析方法,该方法是在微区重要生物资源分析仪上实现的,该方法包括初始自聚焦及定标﹑微区重要生物资源像谱获取﹑像谱数据后处理等三个步骤。本发明的有益效果是,有可见光段采用彩色面阵探测器,利用三原色得到三个波长的图像,有效减少可见光段多光谱成像的成本;可见光段彩色面阵成像与LCTF近红外多光谱成像采用共轭配置,可方便实现图像配准与信息融合;在中红外段仅采用光谱分析,可节约成本,提高效率;三种像谱手段采用同轴同物镜同时采集,高效准确。(The invention discloses a micro-area image spectrum analysis method of important biological resources, which is realized on a micro-area important biological resource analyzer and comprises three steps of initial self-focusing and calibration, micro-area important biological resource image spectrum acquisition, image spectrum data post-processing and the like. The invention has the advantages that the visible light section adopts a color area array detector, and three-color images with three wavelengths are obtained, so that the cost of multispectral imaging of the visible light section is effectively reduced; the visible light section color area array imaging and the LCTF near-infrared multispectral imaging adopt conjugate configuration, so that image registration and information fusion can be conveniently realized; only spectral analysis is adopted in the middle infrared section, so that the cost can be saved and the efficiency can be improved; the three image spectrum means adopt coaxial simultaneous acquisition with the objective lens, and are efficient and accurate.)
1. A micro-area image spectrum analysis method of important biological resources is realized on a micro-area important biological resource image spectrum analyzer, the analyzer mainly comprises a three-dimensional electric platform (1), a wide-spectrum objective lens (3), a first wide-spectrum semi-reflecting and semi-transmitting lens (4), a second wide-spectrum semi-reflecting and semi-transmitting lens (7), a middle infrared optical fiber coupling lens (8), a middle infrared optical fiber (9), a middle infrared optical fiber spectrometer (10), an exit circular hole (12), an optical fiber interface (13), a wide-spectrum optical fiber (14), a supercontinuum laser (15), an integrating sphere (16), a visible light lens (17), a color visible light area array sensor (18), a main analysis controller (19), a near infrared LCTF (20), an LCTF controller (21), a wireless network transceiver (22), a near infrared lens (23), a near infrared area array sensor (24) and a dichromatic patch (6); the method is characterized by comprising the following steps:
1) initial self-focusing and scaling
Placing a standard white board on the sample rack; the main analysis controller controls and starts the super-continuum spectrum laser, the color visible light area array sensor, the near-infrared area array sensor and the intermediate infrared optical fiber spectrometer, and sets exposure parameters of the intermediate infrared optical fiber spectrometer; the main analysis controller sends a control instruction to control the three-dimensional electric platform to move to the initial position; the super-continuous spectrum laser in the visible to middle infrared spectrum band emitted by the super-continuous spectrum laser enters the integrating sphere, forms a uniform light super-continuous spectrum laser illumination source after being reflected for multiple times by the white diffuse reflection coating, is emitted along the illumination optical axis through the emitting circular hole, is reflected by the second wide-spectrum semi-reflecting semi-transparent mirror, is transmitted along the middle infrared optical axis, is reflected by the first wide-spectrum semi-reflecting semi-transparent mirror to the main optical axis, is irradiated onto the standard white board on the sample frame through the wide-spectrum objective lens from top to bottom, and the super-continuous spectrum reflected light passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, is reflected by the first wide-spectrum semi-reflecting semi-transparent mirror to the middle infrared optical axis, passes through the second wide-spectrum semi-reflecting semi-transparent mirror, is coupled into the middle infrared optical fiber through the middle infrared optical fiber coupling mirrorThe reflected spectrum signals are sent to a main analysis controller for analysis; the main analysis controller calculates the total intensity of the intermediate infrared reflection spectrum signal and sets the total intensity as I; the main analysis controller sends out a control instruction to control the three-dimensional electric platform to move up and down along the z direction, and simultaneously, I is continuously calculated until I reaches the maximum value ImaxAt this time, the imaging region is finished with the self-focusing; the main analysis controller records the mid-infrared reflection spectrum curve I (lambda) of the standard white board at the moment; under the self-focusing state, the supercontinuum reflected light of the standard white board passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, passes through the first wide-spectrum semi-reflecting and semi-transmitting lens, and is divided into two parts by the double-color piece; one part is reflected light and is transmitted along a near infrared optical axis by the reflection of the bicolor sheet; the other part is transmitted light which still travels along the main optical axis through the bicolor sheet; the main analysis controller sends out an instruction to start the LCTF controller, and the LCTF controller controls the central wavelength lambda of the transmission light of the near-infrared LCTFk=λ0+ k delta lambda, reflected light from the bicolor patch passes through the near infrared LCTF, and the near infrared lens images on the near infrared area array sensor, so as to obtain different lambadaskMultispectral image W of a near-infrared spectral band standard whiteboardk(x, y) and sending to a main analysis controller for storage; the main analysis controller sends out an instruction to start the color visible light array sensor, the transmitted light of the double-color sheet is imaged to the color visible light array sensor through the visible light lens, and the red, green and blue three primary colors and the visible light full-color image R of the standard white board can be obtainedw(x,y)、Gw(x,y)、Bw(x,y)、Cw(x,y);
2) Micro-region important biological resource image spectrum acquisition
Taking down the standard white board, placing the important animal and plant resource samples on a sample rack, enabling the supercontinuum reflected light to pass through the wide-spectrum objective lens from bottom to top, advancing along a main optical axis, reflecting and rotating to a middle infrared optical axis through the first wide-spectrum semi-reflective and semi-transparent mirror, passing through the second wide-spectrum semi-reflective and semi-transparent mirror, coupling into a middle infrared optical fiber through the middle infrared optical fiber coupling mirror, then entering into a middle infrared optical fiber spectrometer, obtaining a middle infrared average reflection spectrum signal of the important animal and plant resource samples in an imaging area of the wide-spectrum objective lens, and then sending to a main analysis controller for analysis; main analysis controllerCalculating the total intensity of the intermediate infrared average reflection spectrum signal, and setting the total intensity as S; the main analysis controller sends out a control command to control the three-dimensional electric platform to move up and down along the z direction, and S is continuously calculated at the same time until S reaches the maximum value SmaxAt the moment, the imaging area of the important animal and plant resource sample completes self-focusing; recording a middle infrared reflection spectrum curve S (lambda) of the important animal and plant resource sample at the moment by the main analysis controller; under the self-focusing state, supercontinuum reflected light of an important animal and plant resource sample passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, passes through the first wide-spectrum semi-reflecting and semi-transmitting lens and is divided into two parts by the double-color piece; one part is reflected light and is transmitted along a near infrared optical axis by the reflection of the bicolor sheet; the other part is transmitted light which still travels along the main optical axis through the bicolor sheet; the LCTF controller controls the central wavelength lambda of the transmission light of the near-infrared LCTFk=λ0+ k delta lambda, reflected light from the bicolor patch passes through the near infrared LCTF, and the near infrared lens images on the near infrared area array sensor, so as to obtain different lambadaskMultispectral image S of important animal and plant resource sample in near-infrared spectral bandk(x, y) and sending to a main analysis controller for storage; the main analysis controller sends out an instruction to start the color visible light array sensor, the transmitted light of the double-color sheet is imaged to the color visible light array sensor through the visible light lens, and the three primary colors of red, green and blue and the visible light full-color image R of the important animal and plant resource sample can be obtaineds(x,y)、Gs(x,y)、Bs(x,y)、Cs(x,y);
3) Image spectrum data post-processing
The main analysis controller performs the following operation processing on all stored image spectrum data:
red reflectivity image R (x, y) R of important animal and plant resource samples(x,y)/Rw(x,y);
Green reflectance image G (x, y) ═ Gs(x,y)/Gw(x,y);
Blue reflectance image B (x, y) ═ Bs(x,y)/Bw(x,y);
Panchromatic reflectance image C (x, y) ═ Cs(x,y)/Cw(x,y);
Multispectral reflectivity image of important animal and plant resource sample in near infrared spectrum:
sk(x,y)=Sk(x,y)/Wk(x,y);
the standard reflectivity curve of the important animal and plant resource sample in the middle infrared spectrum:
s(λ)=S(λ)/I(λ);
the main analysis controller constructs a characteristic database of the complete image spectrum data of the important animal and plant resource sample, and sends the database information to the cloud system of the entry and exit supervision department through the wireless network transceiver.
Technical Field
The invention relates to a micro-area super-continuous imaging spectrum detection method, in particular to a micro-area image spectrum detection analysis method based on a super-continuous spectrum source, uniform illumination, a visible color camera, near-infrared multispectral imaging and mid-infrared spectral analysis, which is suitable for color, texture and structure imaging and organic matter analysis of important animal and plant resource samples and belongs to the field of photoelectric detection.
Background
The important biological resources refer to rare animals, plants and microorganisms with important economic, genetic, medicinal, scientific research and social values in China. In the border of these important biological resources, the respective countries are mostly regulated and strictly controlled. For example, the U.S. department of agriculture has regulations that completely stop the entry and exit of animals, livestock, blood, embryos, eggs, and excrement. In recent years, along with the development of economy and the rapid increase of import and export, the export of animal plants and products thereof is increased year by year, the risk of loss of important biological resources is inevitably caused, and urgent requirements and great challenges are brought to import and export detection and quarantine departments.
At present, databases of more comprehensive and complete important biological resources including origin distribution, biological characteristics, genetic information, representation and the like are not established in China. In order to enhance the protection of important biological resources and the identification and tracing of biological resources, the development of detection devices and systems for various biological resource samples is imperative.
In order to realize the aspects of entry and exit detection, control and traceability of important biological resources, the acquisition of extrinsic and intrinsic information such as morphology texture, organic matter distribution and the like is the basis. Due to the consideration of rapidness, high efficiency and convenience of customs entry and exit detection, the related detection instrument is required to be simple and stable in structure and convenient to operate, and cost is saved as much as possible, and the volume, weight and power consumption of the instrument are reduced.
Based on the requirements, the invention provides an image spectrum detection system based on the combination of a super-continuous spectrum source, uniform illumination, a visible color camera, near-infrared multispectral imaging and mid-infrared spectrum analysis, which is suitable for color, texture and structure imaging and organic matter analysis of important animal and plant resource samples, can be used for physical property library construction and discrimination of important animal and plant resources, and is convenient for customs import and export detection and quarantine departments to detect, supervise, identify and trace the border important animal and plant resources.
Disclosure of Invention
The invention aims to provide a method for analyzing an image spectrum of a micro-area important biological resource, which is realized on an image spectrum analyzer of the micro-area important biological resource, can obtain images of high-resolution three-primary colors and full-color reflectivity of a visible light section of an important animal and plant resource sample, reflects information of color and texture of the sample, reflects near-infrared hyperspectral reflectivity images, reflects information of an internal structure and the like of the sample, reflects information of main organic matters of the sample by using mid-infrared reflection spectra, and can be used for detecting, supervising, identifying and tracing entry and exit important animal and plant resources in customs.
The invention provides an image analyzer for important biological resources in a micro-area, which mainly comprises a three-dimensional electric platform, a wide-spectrum objective lens, a first wide-spectrum semi-reflecting and semi-transmitting lens, a second wide-spectrum semi-reflecting and semi-transmitting lens, a middle infrared optical fiber coupling lens, a middle infrared optical fiber spectrometer, an exit circular hole, an optical fiber interface, a wide-spectrum optical fiber, a super-continuum laser, an integrating sphere, a visible light lens, a color visible light array sensor, a main analysis controller, a near infrared LCTF, an LCTF controller, a wireless network transceiver, a near infrared lens, a near infrared array sensor and a double-color chip.
The inner wall of the integrating sphere is uniformly coated with a white diffuse reflection coating for carrying out light homogenizing treatment on the entering light, the small hole of the integrating sphere is provided with an optical fiber interface, and the large hole is provided with an emergent circular hole; the super-continuum spectrum laser is connected to the optical fiber interface through a wide-spectrum optical fiber; the super-continuum spectrum laser of visible to mid-infrared spectrum section emitted by the super-continuum spectrum laser firstly enters the wide-spectrum optical fiber for transmission, then enters the integrating sphere through the optical fiber interface, forms a uniform light super-continuum spectrum laser illumination source after being reflected for many times by the white diffuse reflection coating, and is emitted along the irradiation optical axis through the emitting circular hole;
the wide-spectrum objective lens is used for focusing and illuminating the uniform light supercontinuum laser beam to an important animal and plant resource sample on the sample rack, and collecting backward wide-spectrum reflected light;
the visible light lens is used for imaging the reflected light of the backward visible light part of the important animal and plant resource sample to the color visible light array sensor;
the near-infrared LCTF can continuously change the wavelength of light passing through the near-infrared LCTF under the control of the LCTF controller, and then the light is imaged on a near-infrared area array sensor through a near-infrared lens, so that a multispectral image of a near-infrared spectrum band is obtained;
the distance L1 between the visible light lens and the double-color plate is equal to the distance L2 between the near-infrared lens and the double-color plate, and the pixels of the color visible light area array sensor and the near-infrared area array sensor are the same, so that the visible light and the near-infrared imaging satisfy the conjugate relation, and the information fusion is facilitated;
the mid-infrared optical fiber coupling mirror can couple mid-infrared light into a mid-infrared optical fiber, and then the mid-infrared optical fiber coupling mirror enters a mid-infrared optical fiber spectrometer for mid-infrared spectral analysis;
the middle infrared optical axis, the irradiation optical axis, the near infrared optical axis and the main optical axis are coplanar, wherein the middle infrared optical axis is parallel to the near infrared optical axis, and the main optical axis is parallel to the irradiation optical axis; the main optical axis is vertical to the middle infrared optical axis; the first wide-spectrum semi-reflective and semi-transparent mirror and the second wide-spectrum semi-reflective and semi-transparent mirror are arranged in parallel, and both form an included angle of 45 degrees with the main optical axis; the double-color film is vertically arranged with the first wide-spectrum semi-reflecting and semi-transmitting lens, and forms an angle of 45 degrees with the main optical axis;
the sample rack is arranged on the three-dimensional electric platform and can accurately translate along with the three-dimensional electric platform along three directions of longitudinal, transverse and height XYZ, so that automatic focusing and splicing of an imaging area are realized;
host software in the main analysis controller can realize human-computer interaction of the system and collect visible light color images, near-infrared multispectral images and mid-infrared spectral data; constructing a corresponding database, and inquiring and remotely transmitting the database; the fusion, analysis and classification identification of visible light color images, near-infrared multispectral images and mid-infrared spectral information are realized; the input/output port control program of the main analysis controller can realize the control of the mid-infrared fiber optic spectrometer, the three-dimensional electric platform, the supercontinuum laser, the color visible light area array sensor, the near-infrared area array sensor and the LCTF controller, and receive the output image of the color visible light area array sensor, the output multispectral image of the near-infrared area array sensor and the spectral data of the mid-infrared fiber optic spectrometer; the system is connected with a customhouse cloud system through a wireless network transceiver to realize the uploading and downloading of a database and cloud inquiry;
the invention provides a method for analyzing the image spectrum of a micro-area important biological resource, which comprises the following steps:
(1) initial self-focusing and scaling
Placing a standard white board on the sample rack; the main analysis controller controls and starts the super-continuum spectrum laser, the color visible light area array sensor, the near-infrared area array sensor and the intermediate infrared optical fiber spectrometer, and sets exposure parameters of the intermediate infrared optical fiber spectrometer; the main analysis controller sends a control instruction to control the three-dimensional electric platform to move to the initial position; the super-continuum spectrum laser in the visible to mid-infrared spectrum section emitted by the super-continuum spectrum laser enters the integrating sphere, and forms a uniform light super-continuum spectrum laser illumination source after being reflected for multiple times by the white diffuse reflection coating, is emitted along the irradiation optical axis through the emitting round hole, is reflected by the second wide-spectrum semi-reflecting and semi-transmitting lens, is transmitted along the middle infrared optical axis, is reflected by the first wide-spectrum semi-reflecting and semi-transmitting lens to be rotated to the main optical axis, and is irradiated onto the standard white board on the sample rack from top to bottom through the wide-spectrum objective lens, the super-continuum spectrum reflected light passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, is reflected by the first wide-spectrum semi-reflecting and semi-transmitting lens to the intermediate infrared optical axis, passes through the second wide-spectrum semi-reflecting and semi-transmitting lens, is coupled into the intermediate infrared optical fiber by the intermediate infrared optical fiber coupling lens, then entering a mid-infrared fiber spectrometer to obtain a reflection spectrum signal of a mid-infrared spectrum band of the standard white board, and then sending the reflection spectrum signal to a main analysis controller for analysis; the main analysis controller calculates the total intensity of the intermediate infrared reflection spectrum signal and sets the total intensity as I; the main analysis controller sends out a control instruction to control the three-dimensional electric platform to move up and down along the z direction, and simultaneously, I is continuously calculated until I reaches the maximum value ImaxAt this time, the imaging region is finished with the self-focusing; the main analysis controller records the mid-infrared reflection spectrum curve I (lambda) of the standard white board at the moment; under the self-focusing state, the supercontinuum reflected light of the standard white board passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, passes through the first wide-spectrum semi-reflecting and semi-transmitting lens, and is divided into two parts by the double-color piece; one part is reflected light and is transmitted along a near infrared optical axis by the reflection of the bicolor sheet; the other part is transmitted light which still travels along the main optical axis through the bicolor sheet; the main analysis controller sends out an instruction to start the LCTF controller, and the LCTF controller controls the near redCenter wavelength λ of transmitted light of outer LCTFk=λ0+ k delta lambda, reflected light from the bicolor patch passes through the near infrared LCTF, and the near infrared lens images on the near infrared area array sensor, so as to obtain different lambadaskMultispectral image W of a near-infrared spectral band standard whiteboardk(x, y) and sending to a main analysis controller for storage; the main analysis controller sends out an instruction to start the color visible light array sensor, the transmitted light of the double-color sheet is imaged to the color visible light array sensor through the visible light lens, and the red, green and blue three primary colors and the visible light full-color image R of the standard white board can be obtainedw(x,y)、Gw(x,y)、Bw(x,y)、Cw(x,y);
(2) Micro-region important biological resource image spectrum acquisition
Taking down the standard white board, placing the important animal and plant resource samples on a sample rack, enabling the supercontinuum reflected light to pass through the wide-spectrum objective lens from bottom to top, advancing along a main optical axis, reflecting and rotating to a middle infrared optical axis through the first wide-spectrum semi-reflective and semi-transparent mirror, passing through the second wide-spectrum semi-reflective and semi-transparent mirror, coupling into a middle infrared optical fiber through the middle infrared optical fiber coupling mirror, then entering into a middle infrared optical fiber spectrometer, obtaining a middle infrared average reflection spectrum signal of the important animal and plant resource samples in an imaging area of the wide-spectrum objective lens, and then sending to a main analysis controller for analysis; the main analysis controller calculates the total intensity of the intermediate infrared average reflection spectrum signal, and the total intensity is set as S; the main analysis controller sends out a control command to control the three-dimensional electric platform to move up and down along the z direction, and S is continuously calculated at the same time until S reaches the maximum value SmaxAt the moment, the imaging area of the important animal and plant resource sample completes self-focusing; recording a middle infrared reflection spectrum curve S (lambda) of the important animal and plant resource sample at the moment by the main analysis controller; under the self-focusing state, supercontinuum reflected light of an important animal and plant resource sample passes through the wide-spectrum objective lens from bottom to top, travels along the main optical axis, passes through the first wide-spectrum semi-reflecting and semi-transmitting lens and is divided into two parts by the double-color piece; one part is reflected light and is transmitted along a near infrared optical axis by the reflection of the bicolor sheet; the other part is transmitted light which still travels along the main optical axis through the bicolor sheet; the LCTF controller controls the central wavelength lambda of the transmission light of the near-infrared LCTFk=λ0+kΔλReflected light of the double-color plate passes through the near-infrared LCTF, and the near-infrared lens images the near-infrared area array sensor, so that different lambadas are obtainedkMultispectral image S of important animal and plant resource sample in near-infrared spectral bandk(x, y) and sending to a main analysis controller for storage; the main analysis controller sends out an instruction to start the color visible light array sensor, the transmitted light of the double-color sheet is imaged to the color visible light array sensor through the visible light lens, and the three primary colors of red, green and blue and the visible light full-color image R of the important animal and plant resource sample can be obtaineds(x,y)、Gs(x,y)、Bs(x,y)、Cs(x,y);
(3) Image spectrum data post-processing
The main analysis controller performs the following operation processing on all stored image spectrum data:
red reflectivity image R (x, y) R of important animal and plant resource samples(x,y)/Rw(x,y);
Green reflectance image G (x, y) ═ Gs(x,y)/Gw(x,y);
Blue reflectance image B (x, y) ═ Bs(x,y)/Bw(x,y);
Panchromatic reflectance image C (x, y) ═ Cs(x,y)/Cw(x,y);
Multispectral reflectivity image of important animal and plant resource sample in near-infrared spectral band
sk(x,y)=Sk(x,y)/Wk(x,y);
Standard reflectivity curve of important animal and plant resource sample in middle infrared spectrum
s(λ)=S(λ)/I(λ);
The main analysis controller constructs a characteristic database of the complete image spectrum data of the important animal and plant resource sample, and sends database information to a cloud system of an entry and exit supervision department through a wireless network transceiver; therefore, the detection, supervision, identification and tracing of the immigration important animal and plant resources are effectively carried out, and the national biological safety is maintained.
The invention has the advantages that the visible light section adopts a color area array detector, and three-color images with three wavelengths are obtained, so that the cost of multispectral imaging of the visible light section is effectively reduced; the visible light section color area array imaging and the LCTF near-infrared multispectral imaging adopt conjugate configuration, so that image registration and information fusion can be conveniently realized; only spectral analysis is adopted in the middle infrared section, so that the cost can be saved and the efficiency can be improved; the three image spectrum means adopt coaxial simultaneous acquisition with the objective lens, and are efficient and accurate.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention, in which: 1-three-dimensional electric platform; 2-sample holder; 3-wide spectrum objective lens; 4-a first wide-spectrum semi-reflecting and semi-transmitting mirror; 5-mid infrared optic axis; 6-two-color chip; 7-second wide-spectrum semi-reflecting and semi-transmitting mirror; 8-intermediate infrared optical fiber coupling mirror; 9-mid-infrared fiber; 10-mid-infrared fiber optic spectrometer; 11-illumination optical axis; 12-exit circular hole; 13-fiber interface; 14-wide spectrum optical fiber; 15-supercontinuum laser; 16-integrating sphere; 17-visible light lens; 18-area array sensor of color visible light; 19-main analytical controller; 20-near Infrared LCTF; 21-LCTF controller; 22-Wireless network Transceiver; 23-near infrared lens; 24-near infrared area array sensor; 25-near infrared optic axis; 26-main optical axis; 27-important animal and plant resources samples.
Note: LCTF, Liquid Crystal Tunable Filter
Detailed Description
The specific embodiment of the present invention is shown in fig. 1.
The invention provides a method for analyzing an image spectrum of a micro-area important biological resource, which is realized on a micro-area important biological resource image spectrum analyzer, and the micro-area important biological resource image spectrum analyzer mainly comprises a three-dimensional
Wherein, the inner wall of the integrating
the wide spectrum
the
the near-infrared LCTF20 can continuously change the wavelength of light passing through the near-infrared LCTF20 under the control of the
the distance L1 between the
the mid-infrared
the middle infrared
the
host software in the
the invention provides a method for analyzing the image spectrum of a micro-area important biological resource, which comprises the following steps:
(1) initial self-focusing and scaling
Placing a standard white board on the
(2) micro-region important biological resource image spectrum acquisition
The standard white board is taken down, the important animal and
(3) image spectrum data post-processing
The
red reflectance image R (x, y) ═ R of important animal and plant resource sample 27s(x,y)/Rw(x,y);
Green reflectance image G (x, y) ═ Gs(x,y)/Gw(x,y);
Blue reflectance image B (x, y) ═ Bs(x,y)/Bw(x,y);
Panchromatic reflectance image C (x, y) ═ Cs(x,y)/Cw(x,y);
Multispectral reflectivity image of near-infrared spectral band important animal and
sk(x,y)=Sk(x,y)/Wk(x, y); (note: this example k ═ 0,1,2,3, 4.., 70, total 70 multispectral reflectance images)
Standard reflectivity curve of important animal and
s(λ)=S(λ)/I(λ);
The
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