CN114383736B - Infrared remote sensing satellite temperature resolution assessment method and device based on intersection - Google Patents
Infrared remote sensing satellite temperature resolution assessment method and device based on intersection Download PDFInfo
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Abstract
The application provides a temperature resolution assessment method and device for an infrared remote sensing satellite based on intersection, which belong to the field of infrared remote sensing satellites. The method is not affected by the fact that ground measurement needs to be carried out manually, the available target selection range is limited, manual measurement errors are different from person to person, and the method is suitable for quickly evaluating the temperature resolution of the newly-installed infrared remote sensing satellite in a short time. The method is used for evaluating the temperature resolution of the infrared remote sensing satellite.
Description
Technical Field
The application belongs to the technical field of infrared remote sensing satellites, and particularly relates to a method and a device for evaluating temperature resolution of an infrared remote sensing satellite based on intersection.
Background
With the gradual deep application of the remote sensing satellites, the number of the infrared remote sensing satellites is gradually increased, part of satellites are further loaded with infrared remote sensing loads, the satellites are required to be quickly put into use after being transmitted, and the temperature resolution of the infrared remote sensing satellites is required to be quickly assessed.
In the related art, the temperature resolution of an infrared remote sensing satellite is evaluated, a satellite is generally used for imaging a ground uniform radiation target, image data are obtained, the radiation characteristics of the target are synchronously measured on the ground, and the temperature resolution is calculated by utilizing the obtained satellite image data of the high and low thermal uniform radiation target and the ground measurement data.
However, the above method is affected by the need of manual implementation of ground measurement, limited selection range of available targets, different manual measurement errors from person to person, and the like, and cannot be adapted to rapidly evaluate the temperature resolution of the new infrared remote sensing satellite in a short time.
Disclosure of Invention
In order to solve the problem that the temperature resolution of a new infrared remote sensing satellite cannot be rapidly evaluated in a short time when the temperature resolution of the infrared remote sensing satellite is evaluated in the related technology, the application provides a method and a device for evaluating the temperature resolution of the infrared remote sensing satellite based on intersection, wherein the technical scheme is as follows:
in a first aspect, a method for evaluating temperature resolution of an infrared remote sensing satellite based on intersection is provided, and the method comprises the following steps:
imaging the same uniform-radiation target on the ground by using the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated at the same time to acquire corresponding image data;
determining a first gray noise value and a first average value corresponding to a high heat radiation uniform target on the same ground, and a second gray noise value and a second average value corresponding to a low heat radiation uniform target by utilizing image data of a target infrared remote sensing satellite;
determining a third gray noise value and a third average value corresponding to the same ground high heat radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low heat radiation uniform target by utilizing image data of the infrared remote sensing satellite to be evaluated;
and determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value.
Wherein, the process of determining the gray noise value comprises:
calculating a difference value corresponding to the image data;
calculating gray noise value of each line of image data according to the difference value;
the gray noise value of the image data is calculated from the gray noise value of each line.
The method for determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, a first gray noise value, a first average value, a second gray noise value, a second average value, a third gray noise value, a third average value, a fourth gray noise value and a fourth average value comprises the following steps:
according to an evaluation calculation formula, determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value of the target infrared remote sensing satellite, wherein the evaluation calculation formula is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A Is the first average valueAnd a second average valueIs a difference in (2); />For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B For the third average->And fourth mean->Is a difference in (2); />For the third gray noise value->And fourth gray noise value->Average value of (2).
In a second aspect, there is provided a cross-based infrared remote sensing satellite temperature resolution assessment apparatus, the apparatus comprising:
the data acquisition module 210 is configured to simultaneously image the same uniform-radiation target on the ground by using the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated, so as to acquire corresponding image data;
the determining module 220 is configured to determine a first gray noise value and a first average value corresponding to a high thermal radiation uniform target on the same ground, and a second gray noise value and a second average value corresponding to a low thermal radiation uniform target by using image data of a target infrared remote sensing satellite;
the determining module 220 is further configured to determine a third gray noise value and a third average value corresponding to the same ground high thermal radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low thermal radiation uniform target by using image data of the infrared remote sensing satellite to be evaluated;
the cross evaluation module 230 is configured to determine the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value, and the fourth average value.
Wherein, the process of determining the gray noise value by the determining module 220 includes:
calculating a difference value corresponding to the image data;
calculating gray noise value of each line of image data according to the difference value;
the gray noise value of the image data is calculated from the gray noise value of each line.
The cross assessment module 230 is specifically configured to:
according to an evaluation calculation formula, determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value of the target infrared remote sensing satellite, wherein the evaluation calculation formula is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A Is the first average valueAnd a second average valueIs a difference in (2); />For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B Is the third average valueAnd fourth mean->Is a difference in (2); />For the third gray noise value->And fourth gray noise value->Average value of (2).
In a third aspect, there is provided a cross-based infrared telemetry satellite temperature resolution assessment apparatus comprising a processor and a memory, the processor being configured to execute instructions stored in the memory, the processor implementing the assessment method of the first aspect by executing the instructions.
In a fourth aspect, there is provided a computer readable storage medium having instructions stored therein which, when executed on a processing component of a computer, cause the processing component to perform the assessment method of the first aspect.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the assessment method of the first aspect.
The beneficial effects of the application are as follows:
the method comprises the steps of simultaneously imaging the same uniform ground radiation target by using a target infrared remote sensing satellite and an infrared remote sensing satellite to be evaluated, obtaining corresponding image data, respectively calculating gray noise values and average values corresponding to the uniform ground high and low thermal radiation target by using the image data, and then determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution, the gray noise values and the average values of the target infrared remote sensing satellite, thereby realizing the rapid temperature resolution assessment of the infrared remote sensing satellite with unknown temperature resolution by using the infrared remote sensing satellite image data with known temperature resolution. The application is not affected by the manual implementation of ground measurement, limited selection range of available targets, different manual measurement errors from person to person and the like, and can be suitable for rapidly evaluating the temperature resolution of the new infrared remote sensing satellite in a short time.
Drawings
FIG. 1 is a flow chart of an infrared remote sensing satellite temperature resolution assessment method based on cross provided by an embodiment of the application;
fig. 2 is a block diagram of an infrared remote sensing satellite temperature resolution assessment device based on cross according to an embodiment of the present application.
Detailed Description
The application is described in further detail below with reference to specific embodiments and figures.
The application provides a method and a device for evaluating the temperature resolution of an infrared remote sensing satellite based on intersection, which realize the rapid evaluation of the temperature resolution of an infrared remote sensing satellite with unknown temperature resolution by utilizing the image data of the infrared remote sensing satellite with known temperature resolution. The application is not affected by the manual implementation of ground measurement, limited selection range of available targets, different manual measurement errors from person to person and the like, and can be suitable for rapidly evaluating the temperature resolution of the new infrared remote sensing satellite in a short time.
For infrared remote sensing satellites, the temperature resolution is the minimum difference of the surface heat radiation which can be resolved by the infrared remote sensors, and is a core index for measuring the infrared detection capability of the satellites. When the temperature resolution of the infrared remote sensing satellite is evaluated, the satellite is generally controlled to acquire images of high-heat radiation and low-heat radiation uniform targets near a specified temperature and simultaneously image, gray noise values and average values corresponding to the high-heat radiation target and the low-heat radiation target in the infrared images are calculated, parameters such as the radiance or the temperature of the high-heat radiation target and the low-heat radiation target are synchronously measured on the ground, the corresponding equivalent blackbody temperature is calculated, the multipoint average values are respectively used as measured values of the two targets, and then the temperature resolution of the satellite is calculated. When a remote sensing satellite with known temperature resolution exists, the infrared remote sensing satellite with known temperature resolution and the infrared remote sensing satellite with unknown temperature resolution can be controlled to simultaneously image the same uniform radiation target on the ground, corresponding image data is obtained, and the temperature resolution of the satellite to be detected is obtained through calculation.
Referring to fig. 1, a flow chart of a method for evaluating temperature resolution of an infrared remote sensing satellite based on intersection is shown, which comprises the following steps:
and 110, simultaneously imaging the same ground radiation uniform target by using the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated, and obtaining corresponding image data.
Wherein the temperature resolution of the target infrared remote sensing satellite is known, the temperature resolution of the target infrared remote sensing satellite to be evaluated is unknown, in the embodiment, the target infrared remote sensing satellite is denoted as A, the target infrared remote sensing satellite to be evaluated is denoted as B, and the acquired image data of the target infrared remote sensing satellite is denoted as P A The image data of the infrared remote sensing satellite to be evaluated is recorded as P B 。
And 120, determining a first gray noise value and a first average value corresponding to the same ground high heat radiation uniform target and a second gray noise value and a second average value corresponding to the low heat radiation uniform target by utilizing image data of the target infrared remote sensing satellite.
Image data P for target infrared remote sensing satellite a A After the image data generate a 1-level image product, gray noise values and average values corresponding to high and low heat radiation targets in the image product are calculated. Image data P for target infrared remote sensing satellite a A Determining a first gray noise value corresponding to a uniform target of high heat radiation on the same groundSecond gray noise value corresponding to low heat radiation uniformity target +.>The process of (2) may include the steps of:
1) Calculating image data P A Corresponding difference d ij ；
Image data P A Corresponding difference d ij The calculation formula of (2) is as follows: d, d ij ＝p i(j+1) -p ij Wherein p is i(j+1) Image gray value of the ith row and the (j+1) th column; p is p ij The image gray value of the ith row and the jth column.
2) Calculating image data P A Gray noise value sigma for each line i ；
Image data P A Gray noise value sigma for each line i The calculation formula of (2) is as follows:
wherein n is image data P A Is a column number of columns.
3) Calculating image data P A Gray noise value of (a)
Image data P A Gray noise value of (a)The calculation formula of (2) is as follows:
wherein m is image data P A Is a number of rows of (a).
Image data P for target infrared remote sensing satellite a A Determining a first average value corresponding to the uniform target of high heat radiation on the same groundSecond mean value +.>The process of (2) is the same as the following calculation formula:
wherein p is ij The image gray value of the ith row and jth column, m is the image data P A N is the number of lines of the image data P A Is a column number of columns.
And 130, determining a third gray noise value and a third average value corresponding to the same ground high heat radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low heat radiation uniform target by utilizing image data of the infrared remote sensing satellite to be evaluated.
Image data P for infrared remote sensing satellite B to be evaluated B After the image data generate a 1-level image product, gray noise values and average values corresponding to high and low heat radiation targets in the image product are calculated.
Image data P for infrared remote sensing satellite B to be evaluated B Determining a third gray noise value corresponding to the uniform target of high heat radiation on the same groundFourth gray noise value +.>The process of (2) may include the steps of:
1) Calculating image data P B Corresponding difference d ij ；
Image data P B Corresponding difference d ij The calculation formula of (2) is as follows: d, d ij ＝p i(j+1) -p ij Wherein p is i(j+1) Image gray value of the ith row and the (j+1) th column; p is p ij The image gray value of the ith row and the jth column.
2) Calculating image data P B Gray noise value sigma for each line i ；
Image data P B Gray noise value sigma for each line i The calculation formula of (2) is as follows:
wherein n is image data P B Is a column number of columns.
3) Calculating image data P B Gray noise value of (a)
Image data P B Gray noise value of (a)The calculation formula of (2) is as follows:
wherein m is image data P B Is a number of rows of (a).
Image data P for infrared remote sensing satellite B to be evaluated B Determining a third average value corresponding to the uniform target of high heat radiation on the same groundFourth mean value +.>The process of (2) is the same as the following calculation formula:
wherein p is ij The image gray value of the ith row and jth column, m is the image data P B N is the number of lines of the image data P B Is a column number of columns.
And 140, determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value.
Temperature resolution TR of infrared remote sensing satellite to be evaluated B The evaluation calculation formula of (c) is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A The difference between the average of the signals of the infrared camera of the target infrared remote sensing satellite A at two heat radiation points, namely delta s A Is the first average valueAnd second mean->Is a difference in (2);the gray noise mean value of the high and low thermal radiation target images acquired for the target infrared remote sensing satellite A is +.>For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B For the difference between the average of the signals of the infrared camera of the infrared remote sensing satellite B to be evaluated at two heat radiation points, i.e. deltas B For the third average->And fourth mean->Is a difference in (2); />The gray noise mean value of the high and low thermal radiation target images acquired for the infrared remote sensing satellite B to be evaluated is +.>For the third gray noise value->And fourth gray noise value->Average value of (2).
The origin of the calculation process in this step will be described in detail below.
In this embodiment, when parameters such as the radiance or the temperature of the high and low thermal radiation targets are measured synchronously on the ground, the corresponding equivalent blackbody temperature can be calculated, and the multi-point average value is used as the two target measurement values T h And T l 。
According to the temperature resolution definition, the temperature resolution TR (in K) is calculated according to the following formula:
wherein Δt=t h -T l ；Δs＝s h -s l ；Delta T is the temperature difference of the equivalent blackbody temperature of the high and low heat radiation targets on the ground, and the unit is K; Δs is the difference between the average values of the signals of the infrared camera at two heat radiation points, and is represented by a gray value (DN); />Gray noise for high and low thermal radiation target imagesThe acoustic mean value is represented by a gray value (DN).
Thereby respectively obtaining the temperature resolution of the target infrared remote sensing satellite AWherein DeltaT A The temperature difference of the equivalent blackbody temperature of the ground high and low heat radiation targets is obtained when the target infrared remote sensing satellite A is imaged; Δs A The difference of signal average values of an infrared camera of the target infrared remote sensing satellite A at two heat radiation points is obtained; />The gray noise mean value of the high and low thermal radiation target images acquired by the target infrared remote sensing satellite A is obtained. Meanwhile, the temperature resolution of the infrared remote sensing satellite B to be evaluatedWherein DeltaT B The temperature difference of the equivalent blackbody temperature of the ground high and low heat radiation targets when the infrared remote sensing satellite B to be evaluated is imaged; Δs B The difference of signal average values of an infrared camera of the infrared remote sensing satellite B to be evaluated at two heat radiation points is obtained; />And the gray noise mean value of the high and low thermal radiation target images acquired by the infrared remote sensing satellite B to be evaluated is obtained. Considering that when the target infrared remote sensing satellite A and the infrared remote sensing satellite B to be evaluated simultaneously image the same uniform radiation target on the ground, the temperature radiation characteristic of the target on the ground is assumed to be unchanged in a short time, and the atmospheric environment is basically consistent when two satellites are imaged, namely delta T A ＝ΔT B . At this time, the temperature resolution TR of the target infrared remote sensing satellite A is utilized A The temperature resolution TR of the infrared remote sensing satellite B to be evaluated can be calculated B 。
The application provides a temperature resolution assessment method of an infrared remote sensing satellite based on intersection, which comprises the steps of simultaneously imaging a ground uniform target by utilizing a target infrared remote sensing satellite and an infrared remote sensing satellite to be assessed, obtaining corresponding image data, and determining a first gray noise value and a first average value corresponding to the same ground uniform target with high heat radiation and a second gray noise value and a second average value corresponding to a low heat radiation uniform target by utilizing the image data of the target infrared remote sensing satellite; determining a third gray noise value and a third average value corresponding to the same ground high heat radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low heat radiation uniform target by utilizing image data of the infrared remote sensing satellite to be evaluated; and then determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value, so that the rapid temperature resolution evaluation of the infrared remote sensing satellite with unknown temperature resolution by utilizing the infrared remote sensing satellite image data with known temperature resolution is realized. The application is not affected by the manual implementation of ground measurement, limited selection range of available targets, different manual measurement errors from person to person and the like, and can be suitable for rapidly evaluating the temperature resolution of the new infrared remote sensing satellite in a short time.
Referring to fig. 2, a block diagram of an infrared remote sensing satellite temperature resolution assessment device is shown, including:
the data acquisition module 210 is configured to simultaneously image the same uniform-radiation target on the ground by using the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated, so as to acquire corresponding image data.
Wherein the temperature resolution of the target infrared remote sensing satellite is known, the temperature resolution of the target infrared remote sensing satellite to be evaluated is unknown, in the embodiment, the target infrared remote sensing satellite is denoted as A, the target infrared remote sensing satellite to be evaluated is denoted as B, and the acquired image data of the target infrared remote sensing satellite is denoted as P A The image data of the infrared remote sensing satellite to be evaluated is recorded as P B 。
The determining module 220 is configured to determine a first gray noise value and a first average value corresponding to a high thermal radiation uniform target on the same ground, and a second gray noise value and a second average value corresponding to a low thermal radiation uniform target by using image data of the target infrared remote sensing satellite.
Image data P for target infrared remote sensing satellite a A After the image data generate a 1-level image product, gray noise values and average values corresponding to high and low heat radiation targets in the image product are calculated. Image data P for target infrared remote sensing satellite a A Determining a first gray noise value corresponding to a uniform target of high heat radiation on the same groundSecond gray noise value corresponding to low heat radiation uniformity target +.>The determining module 220 is specifically configured to:
1) Calculating image data P A Corresponding difference d ij ；
Image data P A Corresponding difference d ij The calculation formula of (2) is as follows: d, d ij ＝p i(j+1) -p ij Wherein p is i(j+1) Image gray value of the ith row and the (j+1) th column; p is p ij The image gray value of the ith row and the jth column.
2) Calculating image data P A Gray noise value sigma for each line i ；
Image data P A Gray noise value sigma for each line i The calculation formula of (2) is as follows:
wherein n is image data P A Is a column number of columns.
3) Calculating image data P A Gray noise value of (a)
Image data P A Gray noise value of (a)The calculation formula of (2) is as follows:
wherein m is image data P A Is a number of rows of (a).
Image data P for target infrared remote sensing satellite a A Determining a first average value corresponding to the uniform target of high heat radiation on the same groundSecond mean value +.>The determining module 220 is specifically configured to:
wherein p is ij The image gray value of the ith row and jth column, m is the image data P A N is the number of lines of the image data P A Is a column number of columns.
The determining module 220 is further configured to determine a third gray noise value and a third average value corresponding to the same ground high thermal radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low thermal radiation uniform target by using image data of the infrared remote sensing satellite to be evaluated.
Image data P for infrared remote sensing satellite B to be evaluated B After the image data generate a 1-level image product, gray noise values and average values corresponding to high and low heat radiation targets in the image product are calculated.
Image data P for infrared remote sensing satellite B to be evaluated B Determining a third gray noise value corresponding to the uniform target of high heat radiation on the same groundFourth gray noise value +.>The determining module 220 is specifically configured to:
1) Calculating image data P B Corresponding difference d ij ；
Image data P B Corresponding difference d ij The calculation formula of (2) is as follows: d, d ij ＝p i(j+1) -p ij Wherein p is i(j+1) Image gray value of the ith row and the (j+1) th column; p is p ij The image gray value of the ith row and the jth column.
2) Calculating image data P B Gray noise value sigma for each line i ；
Image data P B Gray noise value sigma for each line i The calculation formula of (2) is as follows:
wherein n is image data P B Is a column number of columns.
3) Calculating image data P B Gray noise value of (a)
Image data P B Gray noise value of (a)The calculation formula of (2) is as follows:
wherein m is image data P B Is a number of rows of (a).
Image data P for infrared remote sensing satellite B to be evaluated B Determining the correspondence of the high heat radiation uniform targets on the same groundThird average valueFourth mean value +.>The determining module 220 is specifically configured to:
wherein p is ij The image gray value of the ith row and jth column, m is the image data P B N is the number of lines of the image data P B Is a column number of columns.
The cross evaluation module 230 is configured to determine the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value, and the fourth average value.
Temperature resolution TR of infrared remote sensing satellite to be evaluated B The calculation formula of (2) is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A The difference between the average of the signals of the infrared camera of the target infrared remote sensing satellite A at two heat radiation points, namely delta s A Is the first average valueAnd second mean->Is a difference in (2); />The gray noise mean value of the high and low thermal radiation target images acquired for the target infrared remote sensing satellite A is +.>For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B For the difference between the average of the signals of the infrared camera of the infrared remote sensing satellite B to be evaluated at two heat radiation points, i.e. deltas B For the third average->And fourth mean->Is a difference in (2); />The gray noise mean value of the high and low thermal radiation target images acquired for the infrared remote sensing satellite B to be evaluated is +.>For the third gray noise value->And fourth gray noise value->Average value of (2).
According to the temperature resolution assessment device for the infrared remote sensing satellite based on the intersection, the data acquisition module images the same uniform ground radiation target by utilizing the target infrared remote sensing satellite and the infrared remote sensing satellite to be assessed, corresponding image data are acquired, the determination module respectively calculates the gray noise value and the average value corresponding to the uniform ground high-low thermal radiation target by utilizing the image data, and the intersection assessment module is used for determining the temperature resolution of the infrared remote sensing satellite to be assessed according to the temperature resolution, the gray noise value and the average value of the target infrared remote sensing satellite, so that the rapid temperature resolution assessment of the infrared remote sensing satellite with unknown temperature resolution by utilizing the infrared remote sensing satellite image data with known temperature resolution is realized. The application is not affected by the manual implementation of ground measurement, limited selection range of available targets, different manual measurement errors from person to person and the like, and can be suitable for rapidly evaluating the temperature resolution of the new infrared remote sensing satellite in a short time.
The application also provides an infrared remote sensing satellite temperature resolution assessment device based on intersection, which comprises a processor and a memory, wherein the processor is configured to execute instructions stored in the memory, and the processor realizes the assessment method shown in fig. 1 by executing the instructions.
The present application also provides a computer readable storage medium having instructions stored therein which, when executed on a processing component of a computer, cause the processing component to perform an assessment method as shown in fig. 1.
The application also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the assessment method as shown in fig. 1.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description thereof that follows may be better understood, and in order that the present application may be better understood. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application.
Claims (6)
1. An infrared remote sensing satellite temperature resolution assessment method based on intersection, which is characterized by comprising the following steps:
imaging the same uniform-radiation target on the ground by using the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated at the same time to acquire corresponding image data;
determining a first gray noise value and a first average value corresponding to a high heat radiation uniform target on the same ground, and a second gray noise value and a second average value corresponding to a low heat radiation uniform target by utilizing image data of a target infrared remote sensing satellite;
determining a third gray noise value and a third average value corresponding to the same ground high heat radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low heat radiation uniform target by utilizing image data of the infrared remote sensing satellite to be evaluated;
determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value, and determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value, wherein the determining the temperature resolution of the infrared remote sensing satellite to be evaluated comprises:
according to an evaluation calculation formula, determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value of the target infrared remote sensing satellite, wherein the evaluation calculation formula is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A Is the first average valueAnd the firstMean value->Is a difference in (2); />For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B For the third average->And fourth mean->Is a difference in (2); />For the third gray noise value->And fourth gray noise value->Average value of (2).
2. The method of claim 1, wherein determining the gray noise value comprises:
calculating a difference value corresponding to the image data;
calculating gray noise value of each line of image data according to the difference value;
the gray noise value of the image data is calculated from the gray noise value of each line.
3. An infrared remote sensing satellite temperature resolution assessment device based on intersection, the device comprising:
the data acquisition module is used for simultaneously imaging the same uniform ground radiation target by utilizing the target infrared remote sensing satellite and the infrared remote sensing satellite to be evaluated to acquire corresponding image data;
the determining module is used for determining a first gray noise value and a first average value corresponding to the same ground high heat radiation uniform target and a second gray noise value and a second average value corresponding to the low heat radiation uniform target by utilizing image data of the target infrared remote sensing satellite;
the determining module is further used for determining a third gray noise value and a third average value corresponding to the same ground high heat radiation uniform target, and a fourth gray noise value and a fourth average value corresponding to the low heat radiation uniform target by utilizing image data of the infrared remote sensing satellite to be evaluated;
the cross evaluation module is used for determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution of the target infrared remote sensing satellite, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value, and is specifically used for:
according to an evaluation calculation formula, determining the temperature resolution of the infrared remote sensing satellite to be evaluated according to the temperature resolution, the first gray noise value, the first average value, the second gray noise value, the second average value, the third gray noise value, the third average value, the fourth gray noise value and the fourth average value of the target infrared remote sensing satellite, wherein the evaluation calculation formula is as follows:
wherein TR is A For the temperature resolution of the target infrared remote sensing satellite, deltas A Is the first average valueAnd second mean->Is a difference in (2); />For the first gray noise value +.>And a second gray noise value->Average value of (2); Δs B For the third average->And fourth mean->Is a difference in (2); />For the third gray noise value->And fourth gray noise value->Average value of (2).
4. The apparatus of claim 3, wherein the determining module determines the gray noise value comprises:
calculating a difference value corresponding to the image data;
calculating gray noise value of each line of image data according to the difference value;
the gray noise value of the image data is calculated from the gray noise value of each line.
5. An infrared remote sensing satellite temperature resolution assessment device based on cross, comprising a processor and a memory, the processor being configured to execute instructions stored in the memory, the processor implementing the assessment method of claim 1 or 2 by executing the instructions.
6. A computer readable storage medium having instructions stored therein which, when executed on a processing component of a computer, cause the processing component to perform the assessment method of claim 1 or 2.
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