CN114894321A - Calibration method of infrared remote sensing instrument, electronic device and computer storage medium - Google Patents
Calibration method of infrared remote sensing instrument, electronic device and computer storage medium Download PDFInfo
- Publication number
- CN114894321A CN114894321A CN202210821573.5A CN202210821573A CN114894321A CN 114894321 A CN114894321 A CN 114894321A CN 202210821573 A CN202210821573 A CN 202210821573A CN 114894321 A CN114894321 A CN 114894321A
- Authority
- CN
- China
- Prior art keywords
- value
- satellite
- black body
- remote sensing
- observation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000005855 radiation Effects 0.000 claims abstract description 71
- 230000005457 Black-body radiation Effects 0.000 claims abstract description 42
- 238000012937 correction Methods 0.000 claims abstract description 40
- 238000004364 calculation method Methods 0.000 claims abstract description 31
- JJWKPURADFRFRB-UHFFFAOYSA-N carbonyl sulfide Chemical compound O=C=S JJWKPURADFRFRB-UHFFFAOYSA-N 0.000 claims abstract description 10
- 230000006870 function Effects 0.000 claims description 38
- 238000004891 communication Methods 0.000 claims description 7
- 238000005316 response function Methods 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 6
- 210000001747 pupil Anatomy 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 2
- 238000002310 reflectometry Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 230000005670 electromagnetic radiation Effects 0.000 description 1
- 238000012886 linear function Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/90—Testing, inspecting or checking operation of radiation pyrometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/52—Radiation pyrometry, e.g. infrared or optical thermometry using comparison with reference sources, e.g. disappearing-filament pyrometer
- G01J5/53—Reference sources, e.g. standard lamps; Black bodies
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
Abstract
The application provides a calibration method of an infrared remote sensing instrument for observing infrared light, an electronic device and a computer storage medium. The calibration method comprises the following steps: acquiring the temperature of the on-satellite black body, the emissivity of the on-satellite black body on an observation wave band and correction parameters; calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters; acquiring a black body observation value obtained by observing an on-satellite black body by using an infrared remote sensing instrument, and acquiring a cold air observation value obtained by observing a space by using the infrared remote sensing instrument; and inputting the black body radiation value, the black body observation value, the infrared radiation energy value of the cosmic space and the cold air observation value into a preset function for calculation, and determining the value of a calibration parameter contained in the preset function, wherein the preset function is used for expressing the corresponding relation between the radiation value of the infrared remote sensing instrument for receiving the infrared energy and the output value of the infrared remote sensing instrument. The invention can improve the calibration accuracy of the infrared remote sensing instrument.
Description
Technical Field
The embodiment of the application relates to the field of infrared remote sensing for measuring infrared light, in particular to a calibration method for an infrared remote sensing instrument for observing infrared light, electronic equipment and a computer storage medium.
Background
Infrared remote sensing is a remote sensing technology in which the operating band is limited to the infrared band range. The infrared remote sensing instrument is advanced equipment which receives infrared light of an object and measures the infrared light based on an infrared radiation principle, and is widely applied to the fields of aviation and aerospace at present. In an application scene, an infrared remote sensing instrument can be carried on a satellite to observe the earth, receives infrared light radiated by an object and then outputs an output value so as to perform infrared observation. In the process of realizing the technical scheme, the output value of the infrared remote sensing instrument is determined according to the energy of the received infrared light. However, the correspondence between the output values of different infrared remote sensing instruments and the energy levels of infrared light is unknown and may not be the same, and therefore, calibration of the infrared remote sensing instruments is required, that is, calibration of the output values of the infrared remote sensing instruments is required, so that the output values of the infrared remote sensing instruments definitely correspond to the energy levels of the received infrared light. In the related technology, a black body is used as a calibration source to calibrate the infrared remote sensing instrument, and the black body is an ideal object and does not have any reflection and transmission. However, in the actual calibration process, the on-satellite blackbody carried on the satellite is not an ideal object and has certain reflection capacity, and the calibration method reduces the accuracy of the calibration result of the infrared remote sensing instrument.
Disclosure of Invention
In view of the above, embodiments of the present application provide a calibration method for an infrared remote sensing instrument, an electronic device, and a computer storage medium, so as to solve some or all of the above problems.
According to a first aspect of the embodiments of the present application, there is provided a calibration method for an infrared remote sensing instrument, including: acquiring the temperature of the on-satellite black body, the emissivity of the on-satellite black body on an observation wave band and correction parameters; calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters; acquiring a black body observation value obtained by observing an on-satellite black body by using an infrared remote sensing instrument and a cold air observation value obtained by observing a cosmic space by using the infrared remote sensing instrument; inputting the black body radiation value, the black body observation value, the infrared radiation energy of the universe space and the cold air observation value into a preset function for calculation, and determining the value of a calibration parameter contained in the preset function, wherein the preset function is used for representing the corresponding relation between the radiation value of the infrared remote sensing instrument for receiving the infrared energy and the output value of the infrared remote sensing instrument.
According to a second aspect of the embodiments of the present application, there is provided a calibration apparatus for an infrared remote sensing instrument, including: the acquisition module is used for acquiring the temperature of the on-satellite black body, the emissivity of the on-satellite black body on an observation wave band and correction parameters; the radiation value module is used for calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters; the output value module is used for acquiring a blackbody observation value obtained by observing a starry blackbody by using an infrared remote sensing instrument and a cold air observation value obtained by observing a cosmic space by using the infrared remote sensing instrument; and the calibration module is used for inputting the black body radiation value, the black body observation value, the infrared radiation energy value of the universe space and the cold-air observation value into a preset function for calculation, determining the value of a calibration parameter contained in the preset function, and the preset function is used for the corresponding relation between the radiation value of the infrared remote sensing instrument for receiving the infrared energy and the output value of the infrared remote sensing instrument.
According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, including: the processor, the memory and the communication interface complete mutual communication through the bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the calibration method of the infrared remote sensing instrument.
According to a fourth aspect of embodiments of the present application, there is provided a computer storage medium having a computer program stored thereon, which when executed by a processor, implements the method for calibrating an infrared remote sensing instrument as in the first aspect.
According to the calibration method, the calibration device, the electronic equipment and the computer storage medium of the infrared remote sensing instrument, the temperature of the on-board black body, the emissivity of the on-board black body on an observation wave band and correction parameters are obtained; calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters; acquiring a black body observation value obtained by observing an on-satellite black body by using an infrared remote sensing instrument and a cold air observation value obtained by observing a cosmic space by using the infrared remote sensing instrument; inputting the black body radiation value, the black body observation value, the infrared radiation energy value of the universe space and the cold air observation value into a preset function for calculation, and determining the value of a calibration parameter contained in the preset function, wherein the preset function is used for representing the corresponding relation between the radiation value of the infrared remote sensing instrument for receiving the infrared energy and the output value of the infrared remote sensing instrument. In the calibration process, the radiation value of the black body of the satellite black body is corrected by using the correction parameters, so that the energy of infrared light received by the infrared remote sensing instrument for observing the satellite black body can be more accurately represented, the value of the calibration parameters obtained by calculation is more in line with the actual condition, and the calibration accuracy of the infrared remote sensing instrument is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a flowchart illustrating steps of a calibration method for an infrared remote sensing instrument according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a calibration apparatus of an infrared remote sensing instrument according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application shall fall within the scope of the protection of the embodiments in the present application.
The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.
The embodiment of the application provides a calibration method of an infrared remote sensing instrument. The method can be applied to a calibration device of the infrared remote sensing instrument, namely a device for executing the calibration method of the infrared remote sensing instrument. The infrared remote sensing instrument is calibrated based on the infrared radiation principle, infrared light (namely infrared rays) is one type of electromagnetic waves, the generation of the infrared light is closely related to the temperature, and objects in the nature can radiate the infrared light outwards when the temperature of the objects is higher than absolute zero (namely-273.15 ℃). The amount of energy of the infrared light radiated by the infrared light is determined by the surface temperature of the object. When the infrared remote sensing instrument is used for observation, the infrared remote sensing instrument receives infrared light radiated by an object, an output value is obtained according to the energy of the infrared light, the larger the energy of the infrared light received by the infrared remote sensing instrument is, the larger the obtained output value is, the smaller the energy of the infrared light received by the infrared remote sensing instrument is, and the smaller the obtained output value is.
Referring to fig. 1, a flowchart illustrating steps of a calibration method for an infrared remote sensing instrument according to an embodiment of the present application is shown. The calibration method of the infrared remote sensing instrument comprises the following steps:
In the present application, a starred black body refers to an object mounted on a satellite as a black body, and is an actual object and not a theoretical object. Generally, a black body refers to an ideal object which can absorb all extraneous electromagnetic radiation and has no reflection or transmission, and an on-satellite black body is an object which can be used as a black body, but actually, the on-satellite black body does not have any reflection, because under the influence of the actual manufacturing process, the on-satellite black body itself emits infrared light outwards and also reflects infrared light projected by other objects to the on-satellite black body.
Alternatively, the correction parameter may indicate a ratio of the energy of the infrared light in the environment in which the black body on the star reflects with respect to the energy of the infrared light of the black body when performing the black body calibration. It should be noted that the energy of the infrared light of the black body multiplied by the emissivity of the on-board black body in the observation band may represent the energy of the infrared light emitted by the on-board black body in the observation band, i.e. the first radiation value. Here, a specific example is given to explain how to calculate the correction parameters.
Optionally, the method further comprises: and acquiring a calibration error value of the on-satellite black body, wherein the calibration error value represents the error size introduced after infrared radiation emitted by the environment where the on-satellite black body is located is reflected by the on-satellite black body.
Calculating a correction parameter according to the obtained calibration error value of the on-satellite black body and a preset calculation formula,
Wherein S represents the correction parameter, D represents a calibration error value, i represents a wavelength, W (i) represents a spectral response function of the infrared remote sensing instrument, and T H Represents the temperature of the on-board black body, Plank () represents the Planckian function, and e represents the emissivity of the on-board black body over the observation band.
And calculating a correction parameter according to the reflectivity and the calibration error value of the on-satellite black body on the observation wave band, wherein the sum of the reflectivity and the emissivity of the on-satellite black body on the observation wave band is 1. It should be noted that, at the contact surface of the two media, the sum of the reflectivity, the emissivity and the transmissivity of the infrared light in the observation wavelength band is 1, and because the transmissivity of the star black body in the observation wavelength band is 0, the sum of the emissivity and the reflectivity of the star black body in the observation wavelength band is 1.
It should also be noted that the scaling error value represents R obs And R ref Wherein R is obs The radiation value obtained by observing a certain target through an infrared remote sensing instrument, namely the observed 'number' is the physical radiation value obtained by a calibration equation, R ref Is the true radiation value of the target, one R obs And its corresponding R ref A pair of scaled test samples is formed. Multiple calibration check sample pairs can be obtained by using a cross calibration check method (namely, one high-precision infrared remote sensing instrument and one low-precision infrared remote sensing instrument are used for observing the same target), and each calibration check sample pair comprises one R obs And its corresponding R ref . The calibration test sample pairs may be used with existing calibration accuracy test methods (e.g., reflectance, irradiance, radiance methods) to obtain calibration error values.
And 102, calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters.
Optionally, in an embodiment, calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody over the observation band, and the correction parameter includes: calculating a first radiation value according to the temperature of the on-satellite black body and the emissivity of the on-satellite black body on the observation wave band, wherein the first radiation value indicates infrared energy emitted by the on-satellite black body on the observation wave band; calculating a second radiation value according to the temperature of the on-satellite black body and the correction parameter, wherein the second radiation value indicates the infrared radiation energy of the environment reflected by the on-satellite black body; and summing the first radiation value and the second radiation value to obtain the blackbody radiation value. In combination with the description of the on-satellite black body, because the on-satellite black body is not an ideal black body, the black body radiation value calculated based on the correction parameter of the on-satellite black body can more accurately represent the energy of infrared light emitted by the on-satellite black body and the infrared radiation energy of the environment in which the on-satellite black body reflects. In this application, the first radiant value is indicative of infrared energy emitted by the on-satellite black body in the observation wavelength band, and does not include infrared radiant energy of the environment in which the on-satellite black body is reflected. For example, the first radiation value may indicate the energy of infrared light emitted by the on-satellite black body on the observation wavelength band estimated by calculation, that is, the energy of infrared light emitted by the on-satellite black body itself received when the on-satellite black body is observed by the infrared remote sensing instrument estimated by calculation. The second radiation value represents the amount of energy that a black body on a star reflects infrared light projected by other objects. For example, the second radiation value may indicate the energy of the infrared light reflected by the on-satellite black body in the environment estimated by calculation, that is, the energy of the infrared light reflected by the on-satellite black body in the environment received when the on-satellite black body is observed by the infrared remote sensing instrument estimated by calculation. It should be noted that the infrared light in the environment reflected by the on-satellite black body represented by the second radiation value may include all sources of infrared light or part of infrared light that is projected onto and reflected by the on-satellite black body.
Optionally, in another embodiment, calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody over the observation band, and the correction parameter includes: calculating the blackbody radiation value according to a preset energy calculation formula (formula II), wherein the energy calculation formula is as follows,
Wherein R is H Representing a blackbody radiation value, i represents a wavelength, W (i) represents a spectral response function of the infrared remote sensing instrument, T H Represents the temperature of the on-satellite black body, Plank () represents the Planckian function, e represents the emissivity of the on-satellite black body over the observation band, and S represents the correction parameter.
In conjunction with the description in step 102, since the star blackbody is not an ideal blackbody, the infrared light projected onto the star blackbody is reflected, and thus the blackbody radiation value calculated by the correction parameter is more accurate.
It should be noted that the blackbody radiation value may represent energy of infrared light radiated outward by the on-satellite blackbody, including energy of infrared light emitted by the on-satellite blackbody itself and energy of infrared light reflected by the on-satellite blackbody in an environment, and the blackbody radiation value may be an energy of infrared light radiated outward by the on-satellite blackbody received when the on-satellite blackbody is observed by the infrared remote sensing instrument through calculation and estimation.
And 103, obtaining a blackbody observation value obtained by observing the starry blackbody by using the infrared remote sensing instrument and a cold air observation value obtained by observing the cosmic space by using the infrared remote sensing instrument.
It should be noted that the blackbody observation value corresponds to the blackbody radiation value, and is an output value obtained or generated by observing the on-satellite blackbody with the infrared remote sensing instrument, that is, an output value obtained by receiving infrared light (including infrared light emitted by the on-satellite blackbody itself and reflected infrared light of an environment where the infrared remote sensing instrument is located) radiated by the on-satellite blackbody. The cold air observation value corresponds to the cold air radiation value, the reference object can be cold air, namely a space, and the space cannot radiate infrared light, so that the cold air radiation value is 0, and the operation complexity and the operation amount are greatly reduced.
It should be further noted that, if the calibration device of the infrared remote sensing instrument comprises the infrared remote sensing instrument, the black body observation value is obtained by observing the on-star black body by using the infrared remote sensing instrument, and the cold air observation value is obtained by observing the space by using the infrared remote sensing instrument; if the calibration device of the infrared remote sensing instrument does not comprise the infrared remote sensing instrument and is a device independent of the infrared remote sensing instrument, the black body observation value obtained by observing the starry black body by using the infrared remote sensing instrument and the cold air observation value obtained by observing the space by using the infrared remote sensing instrument are obtained, and the calibration device comprises: and receiving a black body observation value and a cold air observation value which are sent by the infrared remote sensing instrument, wherein the black body observation value can be directly obtained by observing the star black body by using the infrared remote sensing instrument, and the cold air observation value can be obtained by observing the space by using the infrared remote sensing instrument.
And 104, inputting the blackbody radiation value, the blackbody observation value, the infrared radiation energy value of the universe space and the cold-air observation value into a preset function for calculation, and determining the value of a calibration parameter contained in the preset function.
The preset function is used for representing the corresponding relation between the radiation value of the infrared remote sensing instrument for receiving the energy of the infrared light and the output value DN of the infrared remote sensing instrument. The number of scaling parameters may be at least one, and the value of each scaling parameter may be determined by the calculation of step 104.
It should be noted that the preset function may be represented as R = f (DN), where R represents a radiation value and DN represents an output value of the infrared remote sensing instrument. Optionally, in an embodiment, the preset function may be a linear function, and the preset function may be represented as R = k' DN + b, where k is a slope parameter, b is an offset parameter, and both k and b belong to a scaling parameter. Here, two specific examples are listed to explain the manner of calculating the slope parameter and the offset parameter, respectively.
Optionally, in a first example, how to calculate the slope parameter k is described, the method includes inputting a black body radiation value, a black body observation value, an infrared radiation energy value of a space, and a cold air observation value into a preset function to calculate, and determining a value of a calibration parameter included in the preset function, where the method includes:
calculating a difference value between the black body radiation value and the cold air radiation value according to a preset function to serve as a first difference value, calculating a black body observation value and a cold air observation value to serve as a second difference value, and calculating a ratio of the first difference value to the second difference value to serve as a value of a slope parameter; the cold air radiation value is 0, and the calibration parameter comprises a slope parameter.
Specifically, the calculation can be performed by formula three:
Wherein R is H Representing the value of black body radiation, R L Representing the cold air radiation value, D H Representing the black body observation, D L Representing cold air observation, R L Is 0.
Optionally, in a second example, how to calculate the offset parameter b is described, the method includes inputting a black body radiation value, a black body observation value, an infrared radiation energy value of a space, and a cold air observation value into a preset function for calculation, and determining a value of a calibration parameter included in the preset function, where the method includes:
and calculating the inverse number of the product of the slope parameter and the cold air observation value as the value of the offset parameter, wherein the calibration parameter comprises the offset parameter.
The calculation can be made by equation four:
Wherein b represents an offset parameter, k represents a slope parameter, D L Representing a cold air observation.
The calibration method for the infrared remote sensing instrument provided by the embodiment of the application can also use the following calibration formula to calculate the entrance pupil radiant quantity corresponding to the output value of an observation target observed together with the infrared remote sensing (the entrance pupil radiant quantity is the radiant value of the energy of infrared light received by the infrared remote sensing instrument). The scaling formula is as follows:
R obs DN + b (formula five)
In the fifth calibration formula, DN represents the output value of the infrared remote sensing instrument when observing an observation target, k represents a slope parameter, b represents an offset parameter, and R represents obs Indicating the amount of entrance pupil radiation corresponding to the output value.
According to the calibration method of the infrared remote sensing instrument, in the calibration process, not only is the first radiation value of infrared light emitted by the on-satellite black body itself and the second radiation value of the infrared light in the reflection environment of the on-satellite black body considered, but also the sum of the first radiation value and the second radiation value can more accurately represent the energy of the infrared light received by the on-satellite black body observed by the infrared remote sensing instrument, so that the value of the calibration parameter obtained through calculation is more in line with the actual situation, and the calibration accuracy of the infrared remote sensing instrument is improved.
Based on the calibration method for the infrared remote sensing instrument described in the embodiment corresponding to fig. 1, the embodiment of the present application provides a calibration apparatus for an infrared remote sensing instrument, which is used for executing the calibration method for an infrared remote sensing instrument provided in the embodiment of the present application. Referring to fig. 2, a structural block diagram of a calibration device of an infrared remote sensing instrument provided by the embodiment of the application is shown. The calibration device 20 of the infrared remote sensing instrument comprises:
the acquiring module 201 is configured to acquire a temperature of the on-satellite black body, an emissivity of the on-satellite black body on an observation band, and a correction parameter;
the radiation value module 202 is used for calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on the observation wave band and the correction parameters;
the output value module 203 is used for acquiring a blackbody observation value obtained by observing a starry blackbody by using an infrared remote sensing instrument and a cold air observation value obtained by observing a cosmic space by using the infrared remote sensing instrument;
the calibration module 204 is configured to input the black body radiation value, the black body observation value, the infrared radiation energy value of the cosmic space, and the cold air observation value into a preset function for calculation, and determine a value of a calibration parameter included in the preset function, where the preset function is used to represent a corresponding relationship between a radiation value of the infrared remote sensing instrument for receiving the energy of the infrared light and an output value of the infrared remote sensing instrument.
Optionally, in an example, the radiation value module 202 is configured to calculate a first radiation value according to a temperature of the on-satellite black body and an emissivity of the on-satellite black body over an observation band, where the first radiation value indicates an energy of the on-satellite black body emitting infrared light outwards; calculating a second radiation value according to the temperature of the on-satellite black body and the correction parameter, wherein the second radiation value indicates the energy of the infrared light reflected by the on-satellite black body in the environment; and summing the first radiation value and the second radiation value to obtain the blackbody radiation value.
Optionally, in an example, the radiation value module 202 is configured to calculate the blackbody radiation value according to a preset energy calculation formula, which is as follows,
wherein R is H Representing a blackbody radiation value, i representing a wavelength, W (i) representing a spectral response function of the infrared remote sensing instrument, T H Represents the temperature of the on-satellite black body, Plank () represents the Planckian function, e represents the emissivity of the on-satellite black body over the observation band, and S represents the correction parameter.
Optionally, in an example, the calibration apparatus 20 of the infrared remote sensing instrument further includes a correction module 205, configured to obtain a calibration error value of the starry black body; and calculating a correction parameter according to the reflectivity and the calibration error value of the on-satellite black body, wherein the sum of the reflectivity and the emissivity of the on-satellite black body on the observation wave band is 1.
Optionally, in an example, the modification module 205 is configured to calculate the modification parameter according to a preset parameter calculation formula, which is as follows,
wherein S represents the correction parameter, D represents a calibration error value, i represents a wavelength, W (i) represents a spectral response function of the infrared remote sensing instrument, and T H Represents the temperature of the on-board black body, Plank () represents the Planckian function, and e represents the emissivity of the on-board black body over the observation band.
Optionally, in an example, the correction module 205 is configured to obtain a calibration error value caused by infrared light emitted from an environment where the on-satellite black body is located.
Optionally, in an example, the calibration module 204 is configured to calculate a difference between the black body radiation value and the cold air radiation value according to a preset function as a first difference, calculate a second difference between the black body observation value and the cold air observation value as a second difference, and calculate a ratio between the first difference and the second difference as a value of the slope parameter; the cold air radiation value is 0, and the calibration parameter comprises a slope parameter.
Optionally, in an example, the scaling module 204 is configured to calculate an inverse of a product of the slope parameter and the cold air observation value as a value of the offset parameter, where the scaling parameter includes the offset parameter.
The calibration device of the infrared remote sensing instrument provided by the embodiment of the application can more accurately represent the energy of infrared light received by the infrared remote sensing instrument observation satellite blackbody because the blackbody radiation value of the satellite blackbody is corrected by using the correction parameter in the calibration process, so that the value of the calibration parameter obtained by calculation is more in line with the actual situation, and the calibration accuracy of the infrared remote sensing instrument is improved.
Based on the embodiments corresponding to fig. 1 and fig. 2, an embodiment of the present application provides an electronic device, which is configured to execute the calibration method of the infrared remote sensing instrument described in the embodiment corresponding to fig. 1, and as shown in fig. 3, fig. 3 is a schematic structural diagram of the electronic device provided in the embodiment of the present application.
As shown in fig. 3, the electronic device may include: a processor (processor)302, a communication Interface 304, a memory 306, and a bus 308. Wherein: the processor 302, communication interface 304, and memory 306 communicate with each other via a bus 308. A communication interface 304 for communicating with other electronic devices such as a terminal device or a server. The processor 302 is configured to execute the program 310, and may specifically execute relevant steps in the above-described calibration method embodiment of the infrared remote sensing instrument. In particular, program 310 may include program code comprising computer operating instructions.
The processor 302 may be a central processing unit CPU, or an application Specific Integrated circuit asic, or one or more Integrated circuits configured to implement embodiments of the present application. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 306 for storing a program 310. Memory 306 may comprise high-speed RAM memory and may also include non-volatile memory (non-volatile memory), including at least one disk memory.
The program 310 may be specifically configured to enable the processor 302 to execute a calibration method of any one of the infrared remote sensing instruments in the first embodiment.
For specific implementation of each step in the program 310, reference may be made to corresponding steps and corresponding descriptions in units in the foregoing embodiments of the calibration method for an infrared remote sensing instrument, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
According to the electronic equipment provided by the embodiment of the application, in the calibration process, the blackbody radiation value of the on-satellite blackbody is corrected by using the correction parameters, so that the energy of infrared light received by the on-satellite blackbody observed by the infrared remote sensing instrument can be more accurately represented, the value of the calibration parameters obtained through calculation is more in line with the actual situation, and the calibration accuracy of the infrared remote sensing instrument is improved.
It should be noted that, according to the implementation requirement, each component/step described in the embodiment of the present application may be divided into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiment of the present application.
The above-described methods according to embodiments of the present application may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the methods described herein may be stored in such software processes on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that the computer, processor, microprocessor controller or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the calibration method for the infrared telemetry instrument described herein. Further, when the general-purpose computer accesses a code for implementing the calibration method of the infrared remote sensing instrument shown herein, execution of the code converts the general-purpose computer into a special-purpose computer for executing the calibration method of the infrared remote sensing instrument shown herein.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present application.
The above embodiments are only used for illustrating the embodiments of the present application, and not for limiting the embodiments of the present application, and those skilled in the relevant art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application, so that all equivalent technical solutions also belong to the scope of the embodiments of the present application, and the scope of patent protection of the embodiments of the present application should be defined by the claims.
Claims (9)
1. A calibration method of an infrared remote sensing instrument is characterized by comprising the following steps:
acquiring the temperature of the on-satellite black body, the emissivity of the on-satellite black body on an observation wave band and correction parameters;
calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody on an observation wave band and the correction parameter;
acquiring a black body observation value obtained by observing the on-satellite black body by using the infrared remote sensing instrument and a cold air observation value obtained by observing a cosmic space by using the infrared remote sensing instrument;
inputting the black body radiation value, the black body observation value, the infrared radiation energy value of the universe space and the cold air observation value into a preset function for calculation, and determining the value of a calibration parameter contained in the preset function, wherein the preset function is used for representing the corresponding relation between the infrared radiation energy value received by the infrared remote sensing instrument and the output value of the infrared remote sensing instrument.
2. The method of claim 1, wherein calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody over an observation band, and the correction parameter comprises:
calculating a first radiation value according to the temperature of the on-satellite black body and the emissivity of the on-satellite black body on an observation wave band, wherein the first radiation value indicates infrared light energy emitted by the on-satellite black body on the observation wave band;
calculating a second radiation value according to the temperature of the on-satellite black body and the correction parameter, wherein the second radiation value indicates the infrared radiation energy of the environment reflected by the on-satellite black body; and summing the first radiation value and the second radiation value to obtain the blackbody radiation value.
3. The method of claim 1, wherein calculating the blackbody radiation value of the on-satellite blackbody according to the temperature of the on-satellite blackbody, the emissivity of the on-satellite blackbody over an observation band, and the correction parameter comprises:
calculating the blackbody radiation value according to a preset energy calculation formula, wherein the energy calculation formula is as follows,
wherein R is H Representing a blackbody radiation value, i representing a wavelength, W (i) representing a spectral response function of the infrared remote sensing instrument, T H Represents the temperature of the on-satellite black body, Plank () represents the Planckian function, e represents the emissivity of the on-satellite black body over the observation band, and S represents the correction parameter.
4. The method of claim 1, further comprising:
obtaining a calibration error value of the on-satellite black body, wherein the calibration error value represents an error size introduced after infrared radiation emitted by an environment where the on-satellite black body is located is reflected by the on-satellite black body;
calculating the correction parameter according to the obtained calibration error value of the on-satellite black body and a preset calculation formula, wherein the calculation formula is as follows,
wherein S represents the correction parameter, D represents a calibration error value, i represents a wavelength, W (i) represents a spectral response function of the infrared remote sensing instrument, and T H Represents the temperature of the on-board black body, Plank () represents the Planckian function, and e represents the emissivity of the on-board black body over the observation band.
5. The method according to claim 1, wherein the inputting the blackbody radiation value, the blackbody observation value, the infrared radiation energy value of the cosmic space, and the cold air observation value into a preset function for calculation, and determining a value of a calibration parameter included in the preset function comprises:
calculating a difference value between the black body radiation value and the cold air radiation value according to the preset function to serve as a first difference value, calculating a black body observation value and the cold air observation value to serve as a second difference value, and calculating a ratio of the first difference value to the second difference value to serve as a value of a slope parameter;
wherein, the cold air radiation value is 0, and the calibration parameter comprises the slope parameter.
6. The method according to claim 5, wherein the inputting the blackbody radiation value, the blackbody observation value, the infrared radiation energy value of the cosmic space, and the cold air observation value into a preset function for calculation, and determining a value of a calibration parameter included in the preset function comprises:
and calculating the inverse number of the product of the slope parameter and the cold air observation value as the value of an offset parameter, wherein the calibration parameter comprises the offset parameter.
7. The method of claim 6, further comprising:
observing an output value generated by an observation target according to the infrared remote sensing instrument, and calculating the entrance pupil radiance corresponding to the output value of the observation target by using a preset calibration formula,
R obs =k*DN+b；
DN represents the output value of the infrared remote sensing instrument when observing an observation target, k represents the slope parameter, b represents the offset parameter, and R represents obs And the input pupil radiant quantity corresponding to the output value when the infrared remote sensing instrument observes an observation target is represented.
8. An electronic device, comprising: a processor, a memory, a communication interface, and a bus through which the processor, the memory, and the communication interface communicate with each other;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the calibration method of the infrared remote sensing instrument according to any one of claims 1-7.
9. A computer storage medium having stored thereon a computer program which, when executed by a processor, implements a method of calibrating an infrared remote sensing apparatus as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210821573.5A CN114894321B (en) | 2022-07-13 | 2022-07-13 | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210821573.5A CN114894321B (en) | 2022-07-13 | 2022-07-13 | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114894321A true CN114894321A (en) | 2022-08-12 |
| CN114894321B CN114894321B (en) | 2022-10-21 |
Family
ID=82729473
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210821573.5A Active CN114894321B (en) | 2022-07-13 | 2022-07-13 | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114894321B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5602389A (en) * | 1995-07-13 | 1997-02-11 | Kabushiki Kaisha Toshiba | Infrared sensor calibration apparatus using a blackbody |
| CA2411995A1 (en) * | 1996-12-03 | 1998-06-25 | Raytheon Company | Radiometer system and method of calibrating radiometer receiver |
| US20160349113A1 (en) * | 2015-05-28 | 2016-12-01 | Raytheon Company | Characterization of absolute spectral radiance of an unknown ir source |
| CN107389198A (en) * | 2017-05-23 | 2017-11-24 | 三亚中科遥感研究所 | It is a kind of that window Surface Temperature Retrieval method is split based on radiance |
| CN109521405A (en) * | 2018-12-05 | 2019-03-26 | 国家卫星气象中心 | A kind of unified calibrating method suitable for spaceborne large aperture antenna microwave radiometer |
| CN109813438A (en) * | 2019-01-30 | 2019-05-28 | 上海卫星工程研究所 | The in-orbit radiation nonlinear calibration method of Fourier Transform Infrared Spectrometer |
| CN110132416A (en) * | 2019-05-31 | 2019-08-16 | 国家卫星气象中心(国家空间天气监测预警中心) | The in-orbit spectrum calibration method of broadband remote sensor and device |
-
2022
- 2022-07-13 CN CN202210821573.5A patent/CN114894321B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5602389A (en) * | 1995-07-13 | 1997-02-11 | Kabushiki Kaisha Toshiba | Infrared sensor calibration apparatus using a blackbody |
| CA2411995A1 (en) * | 1996-12-03 | 1998-06-25 | Raytheon Company | Radiometer system and method of calibrating radiometer receiver |
| US20160349113A1 (en) * | 2015-05-28 | 2016-12-01 | Raytheon Company | Characterization of absolute spectral radiance of an unknown ir source |
| CN107389198A (en) * | 2017-05-23 | 2017-11-24 | 三亚中科遥感研究所 | It is a kind of that window Surface Temperature Retrieval method is split based on radiance |
| CN109521405A (en) * | 2018-12-05 | 2019-03-26 | 国家卫星气象中心 | A kind of unified calibrating method suitable for spaceborne large aperture antenna microwave radiometer |
| CN109813438A (en) * | 2019-01-30 | 2019-05-28 | 上海卫星工程研究所 | The in-orbit radiation nonlinear calibration method of Fourier Transform Infrared Spectrometer |
| CN110132416A (en) * | 2019-05-31 | 2019-08-16 | 国家卫星气象中心(国家空间天气监测预警中心) | The in-orbit spectrum calibration method of broadband remote sensor and device |
Non-Patent Citations (1)
| Title |
|---|
| 冯绚: "红外傅里叶光谱仪在轨光谱定标算法研究", 《光学学报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114894321B (en) | 2022-10-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3669502B2 (en) | Calibration method of total power microwave radiometer for artificial satellite | |
| CN111595462B (en) | Infrared imaging temperature measurement system calibration method and device, computing equipment and storage medium | |
| US11359967B2 (en) | Method for measuring actual temperature of flame by using all information of radiation spectrum and measurement system thereof | |
| US8101905B2 (en) | Infrared sensor calibration system and method | |
| CN110514392B (en) | Temperature deformation measurement system and method based on wide-angle lens and image distortion correction | |
| KR101862106B1 (en) | Calibration method of temperature measurement device using radiation heat image measurement unit camera | |
| KR101970098B1 (en) | Method and system for surface reflectance and directional reflection function determination using ultraviolet and visible channel data from geostationary satellite | |
| CN112683338B (en) | Multi-parameter synchronous measurement method, device and system | |
| US20090107214A1 (en) | Terahertz sensor to measure humidity and water vapor | |
| Saunders | Correcting radiation thermometry measurements for the size-of-source effect | |
| Johnson et al. | Principles of optical radiometry and measurement uncertainty | |
| CN114894321B (en) | Calibration method of infrared remote sensing instrument, electronic device and computer storage medium | |
| CN103808413A (en) | Method and device for temperature-emissivity separation based on noise separation | |
| CN110132416B (en) | Broadband remote sensor on-orbit spectrum calibration method and device | |
| CN103256999B (en) | Distributed type optical fiber temperature measuring method | |
| CN116147764B (en) | Device and method for calibrating illuminance and testing sensitivity | |
| CN111307292A (en) | Calibration method and device of dual-band radiometric system | |
| CN115014543A (en) | Calibration method and device for thermal infrared imager, electronic equipment and storage medium | |
| CN107490436A (en) | A kind of infrared temperature measurement system atmospheric transmissivity bearing calibration | |
| Lei et al. | A Maximum Likelihood approach to determine sensor radiometric response coefficients for NPP VIIRS reflective solar bands | |
| CN115524016B (en) | Correction method for relative calibration to absolute calibration of black body on satellite of satellite remote sensor | |
| CN117968863B (en) | Infrared temperature measurement method, device, equipment and storage medium | |
| KR102100545B1 (en) | Spectral CALIBRATION METHOD AND APPARATUS | |
| CN115265825B (en) | Method and device for measuring temperature of inner surface, storage medium and terminal | |
| CN115078287A (en) | Method for training radiometric calibration neural network model, radiometric calibration method and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |