CN115112244A - Satellite-borne thermal infrared camera absolute radiometric calibration processing method - Google Patents

Satellite-borne thermal infrared camera absolute radiometric calibration processing method Download PDF

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CN115112244A
CN115112244A CN202210425930.6A CN202210425930A CN115112244A CN 115112244 A CN115112244 A CN 115112244A CN 202210425930 A CN202210425930 A CN 202210425930A CN 115112244 A CN115112244 A CN 115112244A
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satellite
black body
coefficient
calibration coefficient
calibration
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CN115112244B (en
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王海燕
马秀秀
孙伟健
龙小祥
韩启金
张学文
王爱春
赵航
史俊明
杜晓铮
曾建
徐兆鹏
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China Center for Resource Satellite Data and Applications CRESDA
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/48Thermography; Techniques using wholly visual means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00Photometry, e.g. photographic exposure meter
    • G01J1/02Details
    • G01J1/08Arrangements of light sources specially adapted for photometry standard sources, also using luminescent or radioactive material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J3/2823Imaging spectrometer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/52Radiation pyrometry, e.g. infrared or optical thermometry using comparison with reference sources, e.g. disappearing-filament pyrometer
    • G01J5/53Reference sources, e.g. standard lamps; Black bodies
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00Photometry, e.g. photographic exposure meter
    • G01J1/02Details
    • G01J1/08Arrangements of light sources specially adapted for photometry standard sources, also using luminescent or radioactive material
    • G01J2001/086Calibrating drift correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J2003/2866Markers; Calibrating of scan
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Abstract

The invention discloses a satellite-borne thermal infrared camera absolute radiometric calibration processing method, which comprises the following steps: obtaining the equivalent spectral radiance of the entrance pupil of the high-temperature black body and the gray level mean value of the image of the high-temperature black body; obtaining the equivalent spectral radiance of the entrance pupil of the low-temperature black body and the gray level mean value of the image of the low-temperature black body; obtaining the slope of the calibration coefficient of the on-satellite black body and the intercept of the calibration coefficient of the on-satellite black body; obtaining the entrance pupil equivalent spectral radiance of the first scene satellite image and the entrance pupil equivalent spectral radiance of the second scene satellite image; obtaining an external field test calibration coefficient slope and an external field test calibration coefficient intercept; obtaining the conversion coefficient of the first and second on-satellite blackbody calibration coefficients to the external field test calibration coefficient; and obtaining the slope of the absolute radiometric calibration coefficient of the thermal infrared spectrum and the intercept of the absolute radiometric calibration coefficient of the thermal infrared spectrum. The invention improves the absolute radiometric calibration precision of the satellite-borne thermal infrared camera.

Description

Satellite-borne thermal infrared camera absolute radiometric calibration processing method
Technical Field
The invention belongs to the technical field of radiometric calibration, and particularly relates to an absolute radiometric calibration processing method for a satellite-borne thermal infrared camera.
Background
China has rapid aerospace technology development, and a large number of novel high-performance earth observation satellites especially with thermal infrared band detection capability are launched and lifted off. In order to meet the requirements of industries such as environmental protection, China and soil, agriculture, meteorology, disaster reduction and the like on high-precision monitoring of remote sensing of surface temperature, in recent years, the spatial resolution of a thermal infrared spectrum is improved from kilometer scale to ten-meter scale, and the requirement of quantitative application is higher and higher.
High-precision radiometric calibration is the key for ensuring the quantitative application of infrared data, and the common method for absolute radiometric calibration of a satellite-borne thermal infrared camera is to calculate a calibration coefficient by adopting an on-satellite black body, so that the absolute radiometric calibration precision of the infrared camera is insufficient.
Disclosure of Invention
The technical problem solved by the invention is as follows: the method overcomes the defects of the prior art, provides a satellite-borne thermal infrared camera absolute radiometric calibration processing method, and improves the absolute radiometric calibration precision of the satellite-borne thermal infrared camera.
The purpose of the invention is realized by the following technical scheme: a satellite-borne thermal infrared camera absolute radiometric calibration processing method comprises the following steps: obtaining the equivalent spectral radiance of the entrance pupil of the high-temperature black body according to preset calibration data of the high-temperature black body of the satellite-borne thermal infrared camera; obtaining the equivalent spectral radiance of the entrance pupil of the low-temperature black body according to preset calibration data of the low-temperature black body of the satellite-borne thermal infrared camera; obtaining the gray level mean value of the high-temperature black body image according to preset calibration data of the high-temperature black body of the satellite-borne thermal infrared camera
Figure RE-GDA0003811331350000011
Obtaining the gray level mean value of the low-temperature black body image according to the preset low-temperature black body calibration data of the satellite-borne thermal infrared camera
Figure RE-GDA0003811331350000012
According to the equivalent spectral radiance L of the entrance pupil of the high-temperature black body eh (T h ) Low temperature black body entrance pupil equivalent spectral radiance L el (T l ) Mean value of gray levels of high-temperature black body image
Figure RE-GDA0003811331350000013
And the mean value of the gray levels of the low-temperature black body image
Figure RE-GDA0003811331350000014
Obtaining the slope K of the calibration coefficient of the black body on the satellite s And the intercept C of the calibration coefficient of the on-satellite black body s (ii) a Obtaining a gray mean value of a first scene satellite image according to preset first scene infrared radiation calibration field satellite image data
Figure RE-GDA0003811331350000021
Obtaining the gray mean value of the second scene satellite image according to the preset second scene infrared radiation calibration field satellite image data
Figure RE-GDA0003811331350000022
Obtained through a MODTRAN radiation transmission model according to preset outfield test dataEntrance pupil equivalent spectral radiance L of first scene satellite image 1w And the entrance pupil equivalent spectral radiance L of the second scene satellite image 2w (ii) a According to the mean value of the gray scale of the first scene satellite image
Figure RE-GDA0003811331350000023
Mean value of gray levels of second scene satellite image
Figure RE-GDA0003811331350000024
Entrance pupil equivalent spectral radiance L of first scene satellite image 1w And the entrance pupil equivalent spectral radiance L of the second scene satellite image 2w Obtaining the slope K of the calibration coefficient of the outfield test w And external field test calibration coefficient intercept C w (ii) a Scaling coefficient slope K according to on-satellite blackbody s The intercept C of the calibration coefficient of the starry black body s External field test calibration coefficient slope K w And external field test calibration coefficient intercept C w Obtaining a conversion coefficient R of the calibration coefficient of the first on-satellite blackbody calibration coefficient to the external field test calibration coefficient 1 And a conversion coefficient R of a second on-satellite blackbody calibration coefficient to an external field test calibration coefficient 2 (ii) a Scaling coefficient slope K according to on-board black body s The intercept C of the calibration coefficient of the starry black body s The conversion coefficient R of the calibration coefficient of the first on-satellite blackbody calibration coefficient to the external field test calibration coefficient 1 And a conversion coefficient R of a second on-satellite blackbody calibration coefficient to an external field test calibration coefficient 2 And obtaining the slope K of the absolute radiometric calibration coefficient of the thermal infrared spectrum section and the intercept C of the absolute radiometric calibration coefficient of the thermal infrared spectrum section.
In the above absolute radiometric calibration processing method for the satellite-borne heat infrared camera, the equivalent spectral radiance of the entrance pupil of the high-temperature black body is obtained by the following formula:
Figure RE-GDA0003811331350000025
wherein L is eh (T h ) Is the equivalent spectral radiance, L (lambda, T) of the entrance pupil of the high temperature black body h ) Is the radiance, T, of the high temperature black body spectrum h Is the absolute temperature of the high temperature black body, and epsilon isEmissivity, λ is the wavelength, λ 1 、λ 2 The starting and cut-off wavelengths of the imager response, respectively, and R (λ) is the relative spectral response of the imager.
In the absolute radiometric calibration processing method for the satellite-borne heat infrared camera, the low-temperature black body entrance pupil equivalent spectral radiance is obtained through the following formula:
Figure RE-GDA0003811331350000031
wherein L is el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L (lambda, T) l ) Is the low temperature black body spectral radiance, T l Absolute temperature of low temperature black body, epsilon emissivity, lambda wavelength, lambda 1 、λ 2 The starting and cut-off wavelengths of the imager response, respectively, and R (λ) is the relative spectral response of the imager.
In the absolute radiometric calibration processing method of the satellite-carried infrared camera, the gray level mean value of the high-temperature black body image
Figure RE-GDA0003811331350000032
Obtained by the following formula:
Figure RE-GDA0003811331350000033
wherein,
Figure RE-GDA0003811331350000034
is the mean value of the gray levels of the high-temperature black body image, DN h (i) The gray value of the ith pixel of the high-temperature black body, m is the number of the pixels of the high-temperature black body, and i is the serial number of the pixels of the high-temperature black body.
In the absolute radiometric calibration processing method of the satellite-borne heat infrared camera, the gray level mean value of the low-temperature black body image
Figure RE-GDA0003811331350000035
Obtained by the following formula:
Figure RE-GDA0003811331350000036
wherein,
Figure RE-GDA0003811331350000037
is the mean value of gray levels, DN, of the low-temperature black body image l (j) The gray value of the jth pixel of the low-temperature black body; n is the number of the pixels of the low-temperature black body, and j is the serial number of the pixels of the low-temperature black body.
In the absolute radiometric calibration processing method of the satellite-borne heat infrared camera, the slope K of the calibration coefficient of the black body on the satellite s Obtained by the following formula:
Figure RE-GDA0003811331350000038
wherein, K s The slope of the scaling factor for the on-satellite black body,
Figure RE-GDA0003811331350000039
is the mean value of the gray levels of the high-temperature black body image,
Figure RE-GDA00038113313500000310
is the mean value of gray levels of low-temperature black body image, L el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L eh (T h ) Is the equivalent spectral radiance of the entrance pupil of the high temperature black body.
In the absolute radiometric calibration processing method of the satellite-borne heat infrared camera, the calibration coefficient intercept C of the black body on the satellite s Obtained by the following formula:
Figure RE-GDA0003811331350000041
wherein, C s Is the intercept of the calibration coefficient of the black body on the satellite,
Figure RE-GDA0003811331350000042
is high temperature blackThe mean value of the gray levels of the volume image,
Figure RE-GDA0003811331350000043
is the mean value of gray levels of low-temperature black body image, L el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L eh (T h ) Is the equivalent spectral radiance of the entrance pupil of the high temperature black body.
In the absolute radiation calibration processing method of the satellite-carried heat infrared camera, the slope K of the calibration coefficient of the outfield test w And external field test calibration coefficient intercept C w Are all obtained by the following formula:
Figure RE-GDA0003811331350000044
wherein,
Figure RE-GDA0003811331350000045
is the mean value of the gray levels of the first scene satellite image,
Figure RE-GDA0003811331350000046
is the mean value of the gray levels of the second scene satellite image, L 1w Is the entrance pupil equivalent spectral radiance, L, of the first view satellite image 2w Is the entrance pupil equivalent spectral radiance, K, of the second scene satellite image w Scaling coefficient slope, C, for the outfield test w The coefficient intercept is calibrated for the outfield test.
In the absolute radiometric calibration processing method for the satellite-borne heat infrared camera, the conversion coefficient R of the calibration coefficient from the first satellite blackbody calibration coefficient to the outfield test calibration coefficient 1 Comprises the following steps:
Figure RE-GDA0003811331350000047
conversion coefficient R of calibration coefficient of second on-satellite blackbody calibration coefficient to external field test calibration coefficient 2 Comprises the following steps:
Figure RE-GDA0003811331350000048
wherein R is 1 Conversion coefficient, R, of calibration coefficient for first on-satellite blackbody calibration coefficient to external field test 2 Conversion coefficient of calibration coefficient from second on-satellite blackbody calibration coefficient to external field test, K s Scaling coefficient slope, C, for on-satellite blackbodies s Scaling the coefficient intercept, K, for a black body on a satellite w Scaling coefficient slope, C, for the outfield test w The coefficient intercept is calibrated for the outfield test.
In the above method for calibrating absolute radiation of satellite-borne heat infrared camera, the slope K of the calibration coefficient of absolute radiation of thermal infrared spectrum is:
K=R 1 ·K s
the absolute radiometric calibration coefficient intercept C of the thermal infrared spectrum is:
Figure RE-GDA0003811331350000051
wherein K is the slope of the absolute radiometric calibration coefficient of the thermal infrared spectrum, C is the intercept of the absolute radiometric calibration coefficient of the thermal infrared spectrum, R 1 Conversion coefficient, R, of calibration coefficient for first on-satellite blackbody calibration coefficient to external field test 2 Conversion coefficient of calibration coefficient from second on-satellite blackbody calibration coefficient to external field test, K s Scaling coefficient slope, C, for on-satellite blackbodies s And the coefficient intercept is calibrated for the black body on the satellite.
Compared with the prior art, the invention has the following beneficial effects:
the invention simultaneously uses the on-satellite black body and the external field test to carry out the absolute radiation calibration of the infrared camera, and the absolute calibration precision is improved by obtaining the conversion coefficient from the on-satellite black body calibration coefficient to the external field test calibration coefficient.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of an absolute radiometric calibration processing method of a satellite-borne thermal infrared camera according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart of an absolute radiometric calibration processing method of a satellite-borne thermal infrared camera according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
the method comprises the following steps: preparing data, namely high-temperature blackbody calibration data, low-temperature blackbody calibration data, satellite image data of two-scene infrared radiation calibration fields and external field test data of the satellite-borne thermal infrared camera; the two sets of infrared radiation calibration field satellite image data comprise first set of infrared radiation calibration field satellite image data and second set of infrared radiation calibration field satellite image data.
Step two: obtaining the equivalent spectral radiance L of the entrance pupil of the high-temperature black body according to the calibration data of the high-temperature black body in the step one eh (T h )。
The equivalent spectral radiance of the entrance pupil of the high-temperature black body is obtained by the following formula:
Figure RE-GDA0003811331350000061
wherein L is eh (T h ) Is the equivalent spectral radiance (W/m) of the entrance pupil of the high-temperature black body 2 ·sr·μm),L(λ,T h ) Is the spectral radiance (W/m) of the high temperature black body 2 ·sr·μm),T h Is the absolute temperature (K) of the high temperature black body, epsilon is the emissivity, lambda is the wavelength (mum), lambda is 1 、λ 2 The starting and cut-off wavelengths (μm) of the imager response, respectively, and R (λ) is the relative spectral response of the imager.
Step three: obtaining the equivalent spectral radiance L of the entrance pupil of the low-temperature black body according to the calibration data of the low-temperature black body in the step I el (T l )。
Low-temperature black body entrance pupil equivalent spectral radiance L el (T l ) Obtained by the following formula:
Figure RE-GDA0003811331350000071
wherein L is el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance (W/m) 2 ·sr·μm),L(λ,T l ) Is the low temperature black body spectrum radiance (W/m) 2 ·sr·μm),T l Is the absolute temperature (K) of the low temperature black body, epsilon is the emissivity, lambda is the wavelength (mum), lambda 1 、λ 2 The starting and cut-off wavelengths (μm) of the imager response, respectively, and R (λ) is the relative spectral response of the imager.
Step four: obtaining the gray level mean value of the high-temperature black body image according to the high-temperature black body calibration data in the step one
Figure RE-GDA0003811331350000072
Mean value of gray levels of high-temperature black body image
Figure RE-GDA0003811331350000073
Obtained by the following formula:
Figure RE-GDA0003811331350000074
wherein,
Figure RE-GDA0003811331350000075
is the mean value of the gray levels of the high-temperature black body image, DN h (i) The gray value of the ith pixel of the high-temperature black body, m is the number of the pixels of the high-temperature black body, and i is the serial number of the pixels of the high-temperature black body.
Step five: obtaining the gray level mean value of the low-temperature black body image according to the low-temperature black body calibration data in the step one
Figure RE-GDA0003811331350000076
Mean value of gray levels of low-temperature black body image
Figure RE-GDA0003811331350000077
Obtained by the following formula:
Figure RE-GDA0003811331350000078
wherein,
Figure RE-GDA0003811331350000079
is the mean value of gray levels, DN, of the low-temperature black body image l (j) The gray value of the jth pixel of the low-temperature black body; n is the number of the pixels of the low-temperature black body, and j is the serial number of the pixels of the low-temperature black body.
Step six: according to the high-temperature black body entrance pupil equivalent spectral radiance L obtained in the step two eh (T h ) And the low-temperature black body entrance pupil equivalent spectral radiance L obtained in the step three el (T l ) The mean value of the gray levels of the high-temperature black body image obtained in the fourth step
Figure RE-GDA00038113313500000710
The gray average value of the low-temperature black body image obtained in the fifth step
Figure RE-GDA00038113313500000711
The system of equations is formed:
Figure RE-GDA0003811331350000081
obtaining the calibration coefficient K of the star blackbody s And C s
Figure RE-GDA0003811331350000082
Figure RE-GDA0003811331350000083
Wherein L is eh (T h ) The equivalent spectral radiance of the entrance pupil of the high-temperature black body; l is el (T l ) The equivalent spectral radiance of the low-temperature black body entrance pupil;
Figure RE-GDA0003811331350000084
the gray level mean value of the high-temperature black body image is obtained;
Figure RE-GDA0003811331350000085
the gray level mean value of the low-temperature black body image is obtained; k s Scaling coefficient slope for the on-satellite blackbody; c s And the coefficient intercept is calibrated for the black body on the satellite.
Step six: respectively obtaining image gray level mean values according to satellite image data of two scene infrared radiation calibration fields in the step one
Figure RE-GDA0003811331350000086
And
Figure RE-GDA0003811331350000087
obtaining L through MODTRAN radiation transmission model according to external field test data 1w And L 2w Forming an equation set to obtain an external field test absolute radiometric calibration coefficient K w And C w
The system of equations is;
Figure RE-GDA0003811331350000088
wherein L is 1w The equivalent spectral radiance of the entrance pupil of the first scene satellite image; l is 2w The equivalent spectral radiance of the entrance pupil of the second scene satellite image;
Figure RE-GDA0003811331350000089
the gray level mean value of the first scene satellite image is obtained;
Figure RE-GDA00038113313500000810
the gray level mean value of the second scene satellite image is obtained; k is w Scaling coefficient slope for external field test; c w The coefficient intercept is calibrated for the outfield test.
Step seven: obtaining the calibration coefficient K of the star black body according to the step five s And C s And the external field test absolute radiation scaling coefficient K obtained in the sixth step w And C w The following equations are formed:
Figure RE-GDA00038113313500000811
when the values of the on-satellite calibration data DN and the external field calibration data DN of each pixel are the same, the following conversion relation can be established:
Figure RE-GDA0003811331350000091
obtaining a conversion coefficient R 1 And R 2
Figure RE-GDA0003811331350000092
Figure RE-GDA0003811331350000093
Wherein L is ew Calculating the entrance pupil equivalent spectral radiance for the satellite image by using an external field calibration coefficient; l is es Calculating the entrance pupil equivalent spectral radiance for the satellite image by using the on-satellite black body calibration coefficient; k s Scaling coefficient slope for the on-satellite blackbody; c s Scaling the coefficient intercept for the on-satellite blackbody; k w Scaling coefficient slope for an external field test; c w Calibrating the coefficient intercept for the outfield test; r is 1 Converting the first on-satellite blackbody calibration coefficient into an external field test calibration coefficient; r 2 And testing the conversion coefficient of the calibration coefficient from the second on-satellite blackbody calibration coefficient to the external field.
Step eight: obtaining the calibration coefficient K of the star black body according to the step five s And C s Conversion coefficient R obtained in step seven 1 And R 2 Obtaining an absolute radiometric calibration equation of the thermal infrared camera:
Figure RE-GDA0003811331350000094
wherein, the scaling factor K, C is:
K=R 1 ·K s
Figure RE-GDA0003811331350000095
wherein L is image Calculating an entrance pupil equivalent spectral radiance for the infrared image;
Figure RE-GDA0003811331350000096
the gray level mean value of the infrared image is obtained; k is the absolute calibration coefficient slope calculated by the satellite blackbody and external field test; and C is the absolute calibration coefficient intercept calculated by the satellite blackbody and external field test.
The invention simultaneously uses the on-satellite black body and the external field test to carry out the absolute radiation calibration of the infrared camera, thereby improving the absolute calibration precision. The invention achieves the effect of simultaneous calibration by establishing the conversion relation between the on-satellite blackbody calibration and the field calibration.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make variations and modifications of the present invention without departing from the spirit and scope of the present invention by using the methods and technical contents disclosed above.

Claims (10)

1. A satellite-borne thermal infrared camera absolute radiation calibration processing method is characterized by comprising the following steps:
obtaining the equivalent spectral radiance of the entrance pupil of the high-temperature black body according to preset calibration data of the high-temperature black body of the satellite-borne thermal infrared camera;
obtaining the equivalent spectral radiance of the entrance pupil of the low-temperature black body according to preset calibration data of the low-temperature black body of the satellite-borne thermal infrared camera;
obtaining a high-temperature black body image gray level mean value according to preset calibration data of a high-temperature black body of the satellite-borne thermal infrared camera;
obtaining a low-temperature black body image gray level mean value according to preset low-temperature black body calibration data of the satellite-borne thermal infrared camera;
obtaining an on-satellite black body calibration coefficient slope and an on-satellite black body calibration coefficient intercept according to the high-temperature black body entrance pupil equivalent spectral radiance, the low-temperature black body entrance pupil equivalent spectral radiance, the high-temperature black body image gray average value and the low-temperature black body image gray average value;
obtaining a gray average value of a first scene satellite image according to preset first scene infrared radiation calibration field satellite image data; obtaining a gray mean value of a second scene satellite image according to preset second scene infrared radiation calibration field satellite image data; obtaining entrance pupil equivalent spectral radiance of a first scene satellite image and entrance pupil equivalent spectral radiance of a second scene satellite image according to preset external field test data; obtaining an external field test calibration coefficient slope and an external field test calibration coefficient intercept according to the gray average value of the first scene satellite image, the gray average value of the second scene satellite image, the entrance pupil equivalent spectral radiance of the first scene satellite image and the entrance pupil equivalent spectral radiance of the second scene satellite image;
obtaining a conversion coefficient of the first on-satellite blackbody calibration coefficient to the external field test calibration coefficient and a conversion coefficient of the second on-satellite blackbody calibration coefficient to the external field test calibration coefficient according to the on-satellite blackbody calibration coefficient slope, the on-satellite blackbody calibration coefficient intercept, the external field test calibration coefficient slope and the external field test calibration coefficient intercept;
and obtaining the absolute radiation calibration coefficient slope of the thermal infrared spectrum section and the absolute radiation calibration coefficient intercept of the thermal infrared spectrum section according to the satellite blackbody calibration coefficient slope, the satellite blackbody calibration coefficient intercept, the conversion coefficient of the first satellite blackbody calibration coefficient to the external field test calibration coefficient and the conversion coefficient of the second satellite blackbody calibration coefficient to the external field test calibration coefficient.
2. The method for calibrating absolute radiation of the satellite-borne thermal infrared camera according to claim 1, characterized in that: the high-temperature black body entrance pupil equivalent spectral radiance is obtained through the following formula:
Figure FDA0003608508290000021
wherein L is eh (T h ) Is the equivalent spectral radiance, L (lambda, T) of the entrance pupil of the high temperature black body h ) Is the radiance, T, of the high temperature black body spectrum h Absolute temperature of high temperature black body, epsilon emissivity, lambda wavelength, lambda 1 、λ 2 Respectively, the starting wavelength and the cut-off wavelength of the imager response, and R (λ) is the relative spectral response of the imager.
3. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: the low-temperature black body entrance pupil equivalent spectral radiance is obtained through the following formula:
Figure FDA0003608508290000022
wherein L is el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L (lambda, T) l ) Is the low temperature black body spectral radiance, T l Absolute temperature of low temperature black body, epsilon emissivity, lambda wavelength, lambda 1 、λ 2 The starting and cut-off wavelengths of the imager response, respectively, and R (λ) is the relative spectral response of the imager.
4. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: mean value of gray levels of high-temperature black body image
Figure FDA0003608508290000023
Obtained by the following formula:
Figure FDA0003608508290000024
wherein,
Figure FDA0003608508290000025
is the mean value of the gray levels of the high-temperature black body image, DN h (i) The gray value of the ith pixel of the high-temperature black body, m is the number of the pixels of the high-temperature black body, and i is the serial number of the pixels of the high-temperature black body.
5. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: mean gray level of low-temperature black body image
Figure FDA0003608508290000026
Obtained by the following formula:
Figure FDA0003608508290000027
wherein,
Figure FDA0003608508290000031
is the mean value of gray levels, DN, of the low-temperature black body image l (j) The gray value of the jth pixel of the low-temperature black body; n is the number of the low-temperature black body pixels,j is the pixel serial number of the low-temperature black body.
6. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: calibration coefficient slope K of black body on satellite s Obtained by the following formula:
Figure FDA0003608508290000032
wherein, K s The slope of the calibration coefficient is the black body on the satellite,
Figure FDA0003608508290000033
is the average value of the gray scales of the high-temperature black body image,
Figure FDA0003608508290000034
is the mean value of gray levels of low-temperature black body image, L el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L eh (T h ) Is the equivalent spectral radiance of the entrance pupil of the high temperature black body.
7. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: intercept C of calibration coefficient of black body on satellite s Obtained by the following formula:
Figure FDA0003608508290000035
wherein, C s Is the intercept of the calibration coefficient of the black body on the satellite,
Figure FDA0003608508290000036
is the average value of the gray scales of the high-temperature black body image,
Figure FDA0003608508290000037
is the mean value of gray levels of low-temperature black body image, L el (T l ) Is the low temperature black body entrance pupil equivalent spectral radiance, L eh (T h ) Is the equivalent spectral radiance of the entrance pupil of the high temperature black body.
8. The method for calibrating absolute radiation of the satellite-borne thermal infrared camera according to claim 1, characterized in that: scaling coefficient slope K of outfield test w And the intercept C of calibration coefficient of external field test w Are all obtained by the following formula:
Figure FDA0003608508290000038
wherein,
Figure FDA0003608508290000039
is the mean value of the gray levels of the first scene satellite image,
Figure FDA00036085082900000310
is the mean value of the gray levels of the second scene satellite image, L 1w Is the entrance pupil equivalent spectral radiance, L, of the first view satellite image 2w Is the entrance pupil equivalent spectral radiance, K, of the second scene satellite image w Scaling coefficient slope, C, for the outfield test w The coefficient intercept is calibrated for the outfield test.
9. The method for processing the absolute radiation calibration of the satellite-borne thermal infrared camera according to claim 1, characterized in that: conversion coefficient R of first on-satellite blackbody calibration coefficient to external field test calibration coefficient 1 Comprises the following steps:
Figure FDA0003608508290000041
conversion coefficient R of calibration coefficient of second on-satellite blackbody calibration coefficient to external field test calibration coefficient 2 Comprises the following steps:
Figure FDA0003608508290000042
wherein R is 1 Conversion coefficient, R, of calibration coefficient for first on-satellite blackbody calibration coefficient to external field test 2 Conversion coefficient, K, of the calibration coefficient for the second on-satellite blackbody calibration coefficient to the external field test calibration coefficient s Scaling coefficient slope, C, for on-satellite blackbodies s Scaling the coefficient intercept, K, for a black body on a satellite w Scaling coefficient slope, C, for the outfield test w The coefficient intercept is calibrated for the outfield test.
10. The method for calibrating absolute radiation of the satellite-borne thermal infrared camera according to claim 1, characterized in that: the absolute radiometric calibration coefficient slope K of the thermal infrared spectrum is:
K=R 1 ·K s
the absolute radiometric calibration coefficient intercept C of the thermal infrared spectrum is:
Figure FDA0003608508290000043
wherein K is the slope of the absolute radiometric calibration coefficient of the thermal infrared spectrum, C is the intercept of the absolute radiometric calibration coefficient of the thermal infrared spectrum, R 1 Conversion coefficient, R, of calibration coefficient for first on-satellite blackbody calibration coefficient to external field test 2 Conversion coefficient, K, of the calibration coefficient for the second on-satellite blackbody calibration coefficient to the external field test calibration coefficient s Scaling coefficient slope, C, for on-satellite blackbodies s And the coefficient intercept is calibrated for the black body on the satellite.
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