A method and system for relative radiation correction of remote sensing images
Through the remote sensing image relative radiation correction system, environmental adaptability verification and multi-faceted correction data are used to solve the problem of the performance attenuation of remote sensing image sensors and the terrain complexity affecting the accuracy of correction, and the improvement of image quality and work efficiency are achieved.
Patent Information
- Application Number
- CN202411562490.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-11-05
AI Technical Summary
Existing remote sensing image sensors are affected by factors such as radiation and temperature changes, resulting in performance attenuation and image quality accuracy; at the same time, the complex characteristics of the terrain affect the radiation correction accuracy of remote sensing data, and the existing correction algorithm is not suitable for remote sensing images of special terrain.
A remote sensing image relative radiation correction system is provided, including a remote sensing image environment adaptability verification module, a data acquisition module, a position correction module, a brightness correction module, a relative radiation correction judgment module and an evaluation module. By obtaining parameters such as wind speed, wind direction, aerosol concentration and soil moisture, the environmental accuracy index is calculated, the appropriate collection area is screened, and the relative radiation correction evaluation coefficient is calculated through position and brightness correction data.
Through intelligent screening and multi-faceted evaluation, environmental factors are avoided to interfere with image quality, image clarity and accuracy are improved, manual intervention is reduced, and the work efficiency of remote sensing image acquisition is improved.
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Figure CN119090724B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and more specifically, to a method and system for relative radiation correction of remote sensing images. Background Art
[0002] Relative radiation correction of remote sensing images is a commonly used remote sensing image processing method, which aims to eliminate the image radiation differences caused by factors such as uneven surface reflectivity, atmospheric scattering and absorption. This method can improve the quality of remote sensing images and make them more consistent with the radiation characteristics of actual objects.
[0003] In the process of acquiring remote sensing images, due to the influence of factors such as sensor response characteristics, atmospheric scattering and absorption, image data often have radiation distortion, that is, relative radiation error. If this error is not corrected, it will seriously affect the quality of image data, and then affect the accuracy of applications such as land cover classification, vegetation index calculation, and environmental monitoring. By adopting an effective relative radiation correction method, the radiation accuracy of image data can be significantly improved, providing more reliable data support for remote sensing applications.
[0004] However, there are still some shortcomings in actual use. For example, existing remote sensing image sensors are affected by radiation, temperature changes and other factors, resulting in performance degradation, thus affecting the accuracy of image quality;
[0005] In the process of acquiring remote sensing images, the complex characteristics of the terrain affect the accuracy of the radiation correction of remote sensing data. The existing correction algorithms are not suitable for remote sensing images of special terrains, making the verification process complicated and difficult. Summary of the invention
[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for relative radiation correction of remote sensing images, which are used to solve the problems raised in the above-mentioned background technology.
[0007] To achieve the above object, the present invention provides the following technical solution: a remote sensing image relative radiation correction system, comprising:
[0008] Remote sensing image environmental adaptability verification module: used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration, and soil moisture in the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is met.
[0009] Remote sensing image data acquisition module: used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area, the remote sensing image data acquisition module includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit, the remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data.
[0010] Remote sensing image position correction module: used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit.
[0011] Remote sensing image brightness correction module: used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit.
[0012] Remote sensing image relative radiation correction judgment module: used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area based on the remote sensing image position correction matching index and remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area.
[0013] Remote sensing image relative radiation correction assessment module: used to obtain the remote sensing image relative radiation correction assessment coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction assessment coefficient, and process it.
[0014] Preferably, the remote sensing image environmental adaptability verification module is specifically:
[0015] Step S21: extracting the wind speed, wind direction, and soil moisture of the remote sensing image acquisition area on that day through the weather station data, and extracting the aerosol concentration of the remote sensing image acquisition area on that day through the environmental monitoring agency;
[0016] Step S22: The calculation formula of the environmental accuracy index is:
[0017] in, Expressed as The environmental accuracy index of the remote sensing image acquisition area, Expressed as The wind speed in the remote sensing image acquisition area is It is expressed as the wind speed at the lowest point in the remote sensing image acquisition area. Expressed as The wind direction in the remote sensing image acquisition area, Expressed as Soil moisture in the area where remote sensing images are collected, Expressed as the preset soil moisture, Expressed as The aerosol concentration in the remote sensing image acquisition area is Expressed as a preset aerosol concentration, , , They are respectively expressed as compensation factors for wind speed, soil moisture, and aerosol concentration;
[0018] Step S23: Obtain the environmental accuracy index of the remote sensing image acquisition area and compare it with the preset environmental accuracy index. If the environmental accuracy index of a remote sensing image acquisition area is greater than the preset environmental accuracy index, it indicates that the environmental conditions of the remote sensing image acquisition area affect the accuracy of the remote sensing image and the remote sensing image should not be acquired. Otherwise, it indicates that the environmental conditions of the remote sensing image acquisition area are suitable for remote sensing image acquisition and it is selected as a suitable acquisition area for the target remote sensing image.
[0019] Preferably, the remote sensing image data acquisition module is specifically:
[0020] Remote sensing image position correction data acquisition unit: used to obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area, the geographical coordinates of the control points, the terrain elevation, and the remote sensing image acquisition height, which are marked as , , , ,in =1,2,... , Expressed as The number of the suitable collection area;
[0021] Remote sensing image brightness correction data acquisition unit: used to obtain the radiation brightness value, gain, and remote sensing image pixel grayscale value of the target remote sensing image suitable for acquisition area, marked as , , .
[0022] Preferably, the remote sensing image position correction module is specifically:
[0023] Step S41: Obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area and the geographical location coordinates of the control points, and calculate the remote sensing image distortion correction index:
[0024] in, It is expressed as the remote sensing image distortion correction index, Expressed as The pixel horizontal axis coordinates of the remote sensing image control points in the appropriate acquisition area are: Expressed as The horizontal coordinates of the geographical locations of the control points in the suitable collection area, Expressed as The pixel vertical axis coordinates of the remote sensing image control points in the suitable acquisition area, Expressed as The vertical coordinates of the geographical locations of the control points in the suitable collection area, It is expressed as the number of suitable collection areas;
[0025] Step S42: Obtain the terrain elevation of the target remote sensing image suitable acquisition area and the remote sensing image acquisition height, and calculate the relative error of the remote sensing image position:
[0026] in, Expressed as The relative error of the remote sensing image position in the suitable acquisition area is Expressed as The remote sensing image acquisition height of the suitable acquisition area, Expressed as The topographic elevation of a suitable collection area;
[0027] Step S43: The calculation formula of the remote sensing image position correction matching index is:
[0028] in, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, It is expressed as the remote sensing image distortion correction index, It is expressed as the maximum relative error of the remote sensing image position. It is expressed as the minimum relative error of the remote sensing image position. Expressed as The remote sensing image acquisition height of a suitable acquisition area.
[0029] Preferably, the remote sensing image brightness correction module is specifically:
[0030] Step S51: Obtain the radiation brightness value and gain of the target remote sensing image suitable for acquisition area, and calculate the radiation brightness value error:
[0031] in, Expressed as The error of the radiation brightness value in the suitable acquisition area is Expressed as the maximum value of the radiant brightness, Expressed as the minimum radiance value, Expressed as The gain of a suitable collection area;
[0032] Step S52: Obtain the grayscale value and gain of the remote sensing image pixels in the suitable acquisition area of the target remote sensing image, and calculate the remote sensing image pixel grayscale enhancement index:
[0033] in, Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The pixel grayscale value of the remote sensing image of the suitable acquisition area, It is expressed as the weighted average of the grayscale values of the pixels in the remote sensing image;
[0034] Step S53: The calculation formula of the remote sensing image brightness correction index is:
[0035] in, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, Expressed as The error of the radiation brightness value in the suitable acquisition area is It is expressed as the minimum value of the pixel grayscale enhancement index of the remote sensing image. It is expressed as the maximum value of the pixel grayscale enhancement index of the remote sensing image. Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The radiation brightness value of a suitable collection area.
[0036] Preferably, the weighted average grayscale value of the remote sensing image pixels is calculated as follows:
[0037] in, , ,... Represented as the weight of the grayscale value of the remote sensing image pixel, .
[0038] Preferably, the calculation formula of the remote sensing image relative radiation correction evaluation coefficient is:
[0039] Step S71: Calculate the root mean square error of the remote sensing image position correction matching index:
[0040] in, It is expressed as the root mean square error of the remote sensing image position correction matching index, is expressed as the number of suitable collection areas, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, It is expressed as the mean of the remote sensing image position correction matching index;
[0041] Step S72: Calculate the root mean square error of the remote sensing image brightness correction index:
[0042] in, Expressed as the root mean square error of the remote sensing image brightness correction index, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, It is expressed as the mean value of the brightness correction index of remote sensing images;
[0043] Step S73: The calculation formula of the remote sensing image relative radiation correction evaluation coefficient is:
[0044] in, Expressed as Relative radiation correction evaluation coefficients of remote sensing images in suitable acquisition areas.
[0045] Preferably, the remote sensing image relative radiation correction assessment module is specifically:
[0046] Obtain the remote sensing image relative radiation correction assessment coefficient of the target remote sensing image suitable for acquisition area, and compare it with the preset remote sensing image relative radiation correction assessment coefficient. If the remote sensing image relative radiation correction assessment coefficient of a remote sensing image suitable for acquisition area is greater than the preset remote sensing image relative radiation correction assessment coefficient, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has not met expectations and the remote sensing image acquisition parameters should be adjusted. Otherwise, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has met expectations.
[0047] Preferably, a remote sensing image relative radiation correction method comprises the following steps:
[0048] Step S01: Verification of environmental adaptability of remote sensing images: used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration, and soil moisture of the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is in compliance;
[0049] Step S02: remote sensing image data acquisition: used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area, the remote sensing image data acquisition step includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit, the remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data;
[0050] Step S03: remote sensing image position correction: used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit;
[0051] Step S04: remote sensing image brightness correction: used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit;
[0052] Step S05: remote sensing image relative radiation correction judgment: used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction matching index and the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area;
[0053] Step S06: Remote sensing image relative radiation correction evaluation: used to obtain the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction evaluation coefficient, and process it.
[0054] Technical effects and advantages of the present invention:
[0055] The present invention provides a remote sensing image relative radiation correction method and system. The remote sensing image environmental adaptability verification module is used to obtain the wind speed, wind direction, aerosol concentration and soil moisture of the remote sensing image acquisition area, calculate the environmental accuracy index of the remote sensing image acquisition area, and compare it with the preset environmental accuracy index. If the environmental accuracy index of a remote sensing image acquisition area is greater than the preset environmental accuracy index, it indicates that the environmental conditions of the remote sensing image acquisition area affect the accuracy of the remote sensing image, and the remote sensing image should not be acquired. Otherwise, it indicates that the environmental conditions of the remote sensing image acquisition area are suitable for acquiring the remote sensing image, and the area is selected as the suitable acquisition area for the target remote sensing image. By selecting the area with the environmental conditions suitable for acquiring the remote sensing image, the remote sensing image acquisition in the area with the poor environmental conditions is avoided, thereby avoiding the interference of environmental factors on the quality of the remote sensing image, improving the clarity and accuracy of the image, reducing the manual intervention through intelligent screening, and improving the work efficiency of remote sensing image acquisition.
[0056] The present invention provides a remote sensing image relative radiation correction method and system, which obtains remote sensing image data of a target remote sensing image suitable for acquisition area, calculates a remote sensing image position correction matching index of a target remote sensing image suitable for acquisition area according to remote sensing image position correction data of a remote sensing image position correction data acquisition unit, calculates a remote sensing image brightness correction index of a target remote sensing image suitable for acquisition area according to remote sensing image brightness correction data of a remote sensing image brightness correction data acquisition unit, further analyzes to obtain a remote sensing image relative radiation correction evaluation coefficient of a target remote sensing image suitable for acquisition area, and compares it with a preset remote sensing image relative radiation correction evaluation coefficient. If the relative radiation correction evaluation coefficient of a remote sensing image in an area suitable for acquisition is greater than the preset relative radiation correction evaluation coefficient of a remote sensing image, it indicates that the correction effect of the remote sensing image in the area suitable for acquisition has not met expectations, and the remote sensing image acquisition parameters should be adjusted; otherwise, it indicates that the correction effect of the remote sensing image in the area suitable for acquisition has met expectations. By comprehensively considering multiple aspects such as the position, brightness, and radiation characteristics of the remote sensing image, the correction effect of the remote sensing image can be comprehensively evaluated, and a unified correction standard and evaluation system can be formulated to improve the availability of data from different sources, and to achieve efficient processing speed of remote sensing image data by using automated and intelligent data processing methods. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 It is a schematic diagram of the system module process connection of the present invention.
[0058] Figure 2 It is a schematic diagram of the structure of the remote sensing image data acquisition module of the present invention.
[0059] Figure 3 It is a schematic diagram of the connection of the method steps of the present invention. DETAILED DESCRIPTION
[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0061] See also Figure 1 As shown, the present invention provides a remote sensing image relative radiation correction system, including a remote sensing image environmental adaptability verification module, a remote sensing image data acquisition module, a remote sensing image position correction module, a remote sensing image brightness correction module, a remote sensing image relative radiation correction judgment module, and a remote sensing image relative radiation correction evaluation module.
[0062] The remote sensing image environmental adaptability verification module is connected to the remote sensing image data acquisition module, the remote sensing image data acquisition module is connected to the remote sensing image position correction module and the remote sensing image brightness correction module, the remote sensing image position correction module and the remote sensing image brightness correction module are connected to the remote sensing image relative radiation correction judgment module, and the remote sensing image relative radiation correction judgment module is connected to the remote sensing image relative radiation correction evaluation module.
[0063] The remote sensing image environmental adaptability verification module is used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration and soil moisture in the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is met.
[0064] In a possible design, the remote sensing image environmental adaptability verification module is specifically:
[0065] Step S21: extracting the wind speed, wind direction, and soil moisture of the remote sensing image acquisition area on that day through the weather station data, and extracting the aerosol concentration of the remote sensing image acquisition area on that day through the environmental monitoring agency;
[0066] Step S22: The calculation formula of the environmental accuracy index is:
[0067] in, Expressed as The environmental accuracy index of the remote sensing image acquisition area, Expressed as The wind speed in the remote sensing image acquisition area is It is expressed as the wind speed at the lowest point in the remote sensing image acquisition area. Expressed as The wind direction in the remote sensing image acquisition area, Expressed as Soil moisture in the area where remote sensing images are collected, Expressed as the preset soil moisture, Expressed as The aerosol concentration in the remote sensing image acquisition area is Expressed as a preset aerosol concentration, , , They are respectively expressed as compensation factors for wind speed, soil moisture, and aerosol concentration;
[0068] Step S23: Obtain the environmental accuracy index of the remote sensing image acquisition area and compare it with the preset environmental accuracy index. If the environmental accuracy index of a remote sensing image acquisition area is greater than the preset environmental accuracy index, it indicates that the environmental conditions of the remote sensing image acquisition area affect the accuracy of the remote sensing image and the remote sensing image should not be acquired. Otherwise, it indicates that the environmental conditions of the remote sensing image acquisition area are suitable for remote sensing image acquisition and it is selected as a suitable acquisition area for the target remote sensing image.
[0069] See also Figure 2 As shown, the remote sensing image data acquisition module is used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area. The remote sensing image data acquisition module includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit. The remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data.
[0070] In a possible design, the remote sensing image data acquisition module is specifically:
[0071] Remote sensing image position correction data acquisition unit: used to obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area, the geographical coordinates of the control points, the terrain elevation, and the remote sensing image acquisition height, which are marked as , , , ,in =1,2,... , Expressed as The number of the suitable collection area;
[0072] Remote sensing image brightness correction data acquisition unit: used to obtain the radiation brightness value, gain, and remote sensing image pixel grayscale value of the target remote sensing image suitable for acquisition area, marked as , , .
[0073] The remote sensing image position correction module is used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit.
[0074] In a possible design, the remote sensing image position correction module is specifically:
[0075] Step S41: Obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area and the geographical location coordinates of the control points, and calculate the remote sensing image distortion correction index:
[0076] in, It is expressed as the remote sensing image distortion correction index, Expressed as The pixel horizontal axis coordinates of the remote sensing image control points in the appropriate acquisition area are: Expressed as The horizontal coordinates of the geographical locations of the control points in the suitable collection area, Expressed as The pixel vertical axis coordinates of the remote sensing image control points in the suitable acquisition area, Expressed as The vertical coordinates of the geographical locations of the control points in the suitable collection area, It is expressed as the number of suitable collection areas;
[0077] Step S42: Obtain the terrain elevation of the target remote sensing image suitable acquisition area and the remote sensing image acquisition height, and calculate the relative error of the remote sensing image position:
[0078] in, Expressed as The relative error of the remote sensing image position in the suitable acquisition area is Expressed as The remote sensing image acquisition height of the suitable acquisition area, Expressed as The topographic elevation of a suitable collection area;
[0079] Step S43: The calculation formula of the remote sensing image position correction matching index is:
[0080] in, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, Expressed as The distortion correction index of remote sensing images in the appropriate acquisition area is It is expressed as the maximum relative error of the remote sensing image position. It is expressed as the minimum relative error of the remote sensing image position. Expressed as The remote sensing image acquisition height of a suitable acquisition area.
[0081] The remote sensing image brightness correction module is used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit.
[0082] In a possible design, the remote sensing image brightness correction module is specifically:
[0083] Step S51: Obtain the radiation brightness value and gain of the target remote sensing image suitable for acquisition area, and calculate the radiation brightness value error:
[0084] in, Expressed as The error of the radiation brightness value in the suitable acquisition area is Expressed as the maximum value of the radiant brightness, Expressed as the minimum radiance value, Expressed as The gain of a suitable collection area;
[0085] Step S52: Obtain the grayscale value and gain of the remote sensing image pixels in the suitable acquisition area of the target remote sensing image, and calculate the remote sensing image pixel grayscale enhancement index:
[0086] in, Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The pixel grayscale value of the remote sensing image of the suitable acquisition area, It is expressed as the weighted average of the grayscale values of the pixels in the remote sensing image;
[0087] Step S53: The calculation formula of the remote sensing image brightness correction index is:
[0088] in, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, Expressed as The error of the radiation brightness value in the suitable acquisition area is It is expressed as the minimum value of the pixel grayscale enhancement index of the remote sensing image. It is expressed as the maximum value of the pixel grayscale enhancement index of the remote sensing image. Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The radiation brightness value of a suitable collection area.
[0089] In a possible design, the weighted average grayscale value of the remote sensing image pixel is calculated as follows:
[0090] in, , ,... Represented as the weight of the grayscale value of the remote sensing image pixel, .
[0091] The remote sensing image relative radiation correction judgment module is used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable collection area according to the remote sensing image position correction matching index and the remote sensing image brightness correction index of the target remote sensing image suitable collection area.
[0092] In a possible design, the calculation formula of the remote sensing image relative radiation correction evaluation coefficient is:
[0093] Step S71: Calculate the root mean square error of the remote sensing image position correction matching index:
[0094] in, It is expressed as the root mean square error of the remote sensing image position correction matching index, is expressed as the number of suitable collection areas, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, It is expressed as the mean of the remote sensing image position correction matching index;
[0095] Step S72: Calculate the root mean square error of the remote sensing image brightness correction index:
[0096] in, Expressed as the root mean square error of the remote sensing image brightness correction index, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, It is expressed as the mean value of the brightness correction index of remote sensing images;
[0097] Step S73: The calculation formula of the remote sensing image relative radiation correction evaluation coefficient is:
[0098] in, Expressed as Relative radiation correction evaluation coefficients of remote sensing images in suitable acquisition areas.
[0099] The remote sensing image relative radiation correction evaluation module is used to obtain the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction evaluation coefficient, and process it.
[0100] In a possible design, the remote sensing image relative radiation correction evaluation module is specifically:
[0101] Obtain the remote sensing image relative radiation correction assessment coefficient of the target remote sensing image suitable for acquisition area, and compare it with the preset remote sensing image relative radiation correction assessment coefficient. If the remote sensing image relative radiation correction assessment coefficient of a remote sensing image suitable for acquisition area is greater than the preset remote sensing image relative radiation correction assessment coefficient, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has not met expectations and the remote sensing image acquisition parameters should be adjusted. Otherwise, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has met expectations.
[0102] See also Figure 3 As shown, in this embodiment, it should be specifically explained that the present invention provides a remote sensing image relative radiation correction method, comprising the following steps:
[0103] Step S01: Verification of environmental adaptability of remote sensing images: used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration, and soil moisture of the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is in compliance;
[0104] Step S02: remote sensing image data acquisition: used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area, the remote sensing image data acquisition step includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit, the remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data;
[0105] Step S03: remote sensing image position correction: used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit;
[0106] Step S04: remote sensing image brightness correction: used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit;
[0107] Step S05: remote sensing image relative radiation correction judgment: used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction matching index and the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area;
[0108] Step S06: Remote sensing image relative radiation correction evaluation: used to obtain the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction evaluation coefficient, and process it.
[0109] In the present embodiment, it is necessary to specifically explain that the present invention utilizes a remote sensing image environmental adaptability verification module to obtain the wind speed, wind direction, aerosol concentration, and soil moisture in the remote sensing image acquisition area, calculate the environmental accuracy index of the remote sensing image acquisition area, and compare it with the preset environmental accuracy index. If the environmental accuracy index of a remote sensing image acquisition area is greater than the preset environmental accuracy index, it indicates that the environmental conditions of the remote sensing image acquisition area affect the accuracy of the remote sensing image, and the remote sensing image should not be acquired. Otherwise, it indicates that the environmental conditions of the remote sensing image acquisition area are suitable for acquiring remote sensing images, and the target remote sensing image is selected as a suitable acquisition area. By selecting areas with suitable environmental conditions for remote sensing image acquisition, remote sensing image acquisition in areas with poor environmental conditions is avoided, thereby avoiding the interference of environmental factors on the quality of remote sensing images, improving the clarity and accuracy of images, and reducing human intervention through intelligent screening, thereby improving the work efficiency of remote sensing image acquisition.
[0110] The invention obtains remote sensing image data of a target remote sensing image suitable for acquisition area, calculates a remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to remote sensing image position correction data of a remote sensing image position correction data acquisition unit, calculates a remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to remote sensing image brightness correction data of a remote sensing image brightness correction data acquisition unit, further analyzes and obtains a remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area, and compares the coefficient with a preset remote sensing image relative radiation correction evaluation coefficient. If the remote sensing image relative radiation correction evaluation coefficient of a certain remote sensing image suitable for acquisition area is greater than the preset remote sensing image relative radiation correction evaluation coefficient, it indicates that the correction effect of the remote sensing image of the suitable acquisition area does not meet expectations, and the remote sensing image acquisition parameters should be adjusted. Otherwise, it indicates that the correction effect of the remote sensing image of the suitable acquisition area meets expectations. By comprehensively considering multiple aspects such as the position, brightness and radiation characteristics of the remote sensing image, the correction effect of the remote sensing image can be comprehensively evaluated, and a unified correction standard and evaluation system can be formulated to improve the availability of data from different sources, and an automated and intelligent data processing method is used to achieve a high-efficiency processing speed of remote sensing image data.
[0111] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A remote sensing image relative radiation correction system, characterized in that: include: Remote sensing image environmental adaptability verification module: used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration, and soil moisture in the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is in compliance; Remote sensing image data acquisition module: used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area, the remote sensing image data acquisition module includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit, the remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data; Remote sensing image position correction module: used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit; The calculation formula of the remote sensing image position correction matching index is: ,in, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, It is expressed as the remote sensing image distortion correction index, It is expressed as the maximum relative error of the remote sensing image position. It is expressed as the minimum relative error of the remote sensing image position. Expressed as The remote sensing image acquisition height of the appropriate acquisition area; Remote sensing image brightness correction module: used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit; The calculation formula of the remote sensing image brightness correction index is: ,in, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, Expressed as The error of the radiation brightness value in the suitable acquisition area is It is expressed as the minimum value of the pixel grayscale enhancement index of the remote sensing image. It is expressed as the maximum value of the pixel grayscale enhancement index of the remote sensing image. Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The radiation brightness value of the area suitable for collection; Remote sensing image relative radiation correction judgment module: used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction matching index and remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area; The calculation formula of the remote sensing image relative radiation correction evaluation coefficient is: ,in, Expressed as The relative radiation correction evaluation coefficient of remote sensing images in suitable acquisition areas is: Expressed as The remote sensing image position correction matching index of the suitable acquisition area, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, It is expressed as the root mean square error of the remote sensing image position correction matching index, It is expressed as the root mean square error of the remote sensing image brightness correction index; Remote sensing image relative radiation correction assessment module: used to obtain the remote sensing image relative radiation correction assessment coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction assessment coefficient, and process it.
2. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image data acquisition module is specifically: The remote sensing image environmental adaptability verification module is specifically: Step S21: extracting the wind speed, wind direction, and soil moisture of the remote sensing image acquisition area on that day through the weather station data, and extracting the aerosol concentration of the remote sensing image acquisition area on that day through the environmental monitoring agency; Step S22: The calculation formula of the environmental accuracy index is: ,in, Expressed as The environmental accuracy index of the remote sensing image acquisition area, Expressed as The wind speed in the remote sensing image acquisition area is It is expressed as the wind speed at the lowest point in the remote sensing image acquisition area. Expressed as The wind direction in the remote sensing image acquisition area, Expressed as Soil moisture in the area where remote sensing images are collected, Expressed as the preset soil moisture, Expressed as The aerosol concentration in the remote sensing image acquisition area is Expressed as a preset aerosol concentration, , , They are respectively expressed as compensation factors for wind speed, soil moisture, and aerosol concentration; Step S23: Obtain the environmental accuracy index of the remote sensing image acquisition area and compare it with the preset environmental accuracy index. If the environmental accuracy index of a remote sensing image acquisition area is greater than the preset environmental accuracy index, it indicates that the environmental conditions of the remote sensing image acquisition area affect the accuracy of the remote sensing image and the remote sensing image should not be acquired. Otherwise, it indicates that the environmental conditions of the remote sensing image acquisition area are suitable for remote sensing image acquisition and it is selected as a suitable acquisition area for the target remote sensing image.
3. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image data acquisition module is specifically: Remote sensing image position correction data acquisition unit: used to obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area, the geographical coordinates of the control points, the terrain elevation, and the remote sensing image acquisition height, which are marked as , , , ,in =1,2,... , Expressed as The number of the suitable collection area; Remote sensing image brightness correction data acquisition unit: used to obtain the radiation brightness value, gain, and remote sensing image pixel grayscale value of the target remote sensing image suitable for acquisition area, marked as , , .
4. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image position correction module is specifically: Step S41: Obtain the pixel coordinates of the remote sensing image control points in the target remote sensing image acquisition area and the geographical location coordinates of the control points, and calculate the remote sensing image distortion correction index: ,in, It is expressed as the remote sensing image distortion correction index, Expressed as The pixel horizontal axis coordinates of the remote sensing image control points in the appropriate acquisition area are: Expressed as The horizontal coordinates of the geographical locations of the control points in the suitable collection area, Expressed as The pixel vertical axis coordinates of the remote sensing image control points in the suitable acquisition area, Expressed as The vertical coordinates of the geographical locations of the control points in the suitable collection area, It is expressed as the number of suitable collection areas; Step S42: Obtain the terrain elevation of the target remote sensing image suitable acquisition area and the remote sensing image acquisition height, and calculate the relative error of the remote sensing image position: ,in, Expressed as The relative error of the remote sensing image position in the suitable acquisition area is Expressed as The remote sensing image acquisition height of the suitable acquisition area, Expressed as The terrain elevation of a suitable collection area.
5. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image brightness correction module is specifically: Step S51: Obtain the radiation brightness value and gain of the target remote sensing image suitable for acquisition area, and calculate the radiation brightness value error: ,in, Expressed as The error of the radiation brightness value in the suitable acquisition area is Expressed as the maximum value of the radiant brightness, Expressed as the minimum radiance value, Expressed as The gain of a suitable collection area; Step S52: Obtain the grayscale value and gain of the remote sensing image pixels in the suitable acquisition area of the target remote sensing image, and calculate the remote sensing image pixel grayscale enhancement index: ,in, Expressed as The pixel grayscale enhancement index of remote sensing images suitable for the acquisition area is Expressed as The pixel grayscale value of the remote sensing image of the suitable acquisition area, It is expressed as the weighted average of the grayscale values of the pixels in the remote sensing image.
6. A remote sensing image relative radiation correction system according to claim 5, characterized in that: The calculation formula of the weighted average gray value of the remote sensing image pixel is: ,in, Expressed as The pixel grayscale value of the remote sensing image of the suitable acquisition area, It is expressed as the weighted average of the grayscale values of the pixels in the remote sensing image. is expressed as the number of suitable collection areas, , ,... Represented as the weight of the grayscale value of the remote sensing image pixel, .
7. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image relative radiation correction evaluation coefficient is specifically: Step S71: Calculate the root mean square error of the remote sensing image position correction matching index: ,in, It is expressed as the root mean square error of the remote sensing image position correction matching index, is expressed as the number of suitable collection areas, Expressed as The remote sensing image position correction matching index of the suitable acquisition area, It is expressed as the mean of the remote sensing image position correction matching index; Step S72: Calculate the root mean square error of the remote sensing image brightness correction index: ,in, Expressed as the root mean square error of the remote sensing image brightness correction index, Expressed as A remote sensing image brightness correction index suitable for the acquisition area, Expressed as the mean value of the remote sensing image brightness correction index.
8. A remote sensing image relative radiation correction system according to claim 1, characterized in that: The remote sensing image relative radiation correction evaluation module is specifically: Obtain the remote sensing image relative radiation correction assessment coefficient of the target remote sensing image suitable for acquisition area, and compare it with the preset remote sensing image relative radiation correction assessment coefficient. If the remote sensing image relative radiation correction assessment coefficient of a remote sensing image suitable for acquisition area is greater than the preset remote sensing image relative radiation correction assessment coefficient, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has not met expectations and the remote sensing image acquisition parameters should be adjusted. Otherwise, it indicates that the correction effect of the remote sensing image in the suitable acquisition area has met expectations.
9. A method for relative radiation correction of remote sensing images, using a remote sensing image relative radiation correction system as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Step S01: Verification of environmental adaptability of remote sensing images: used to calculate the environmental accuracy index of the remote sensing image acquisition area through the wind speed, wind direction, aerosol concentration, and soil moisture of the remote sensing image acquisition area, so as to verify whether the environmental adaptability of the remote sensing image is in compliance; Step S02: remote sensing image data acquisition: used to acquire remote sensing image data of a target remote sensing image suitable for acquisition area, the remote sensing image data acquisition step includes a remote sensing image position correction data acquisition unit and a remote sensing image brightness correction data acquisition unit, the remote sensing image data includes remote sensing image position correction data and remote sensing image brightness correction data; Step S03: remote sensing image position correction: used to calculate the remote sensing image position correction matching index of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction data of the remote sensing image position correction data acquisition unit; Step S04: remote sensing image brightness correction: used to calculate the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area according to the remote sensing image brightness correction data of the remote sensing image brightness correction data acquisition unit; Step S05: remote sensing image relative radiation correction judgment: used to calculate the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area according to the remote sensing image position correction matching index and the remote sensing image brightness correction index of the target remote sensing image suitable for acquisition area; Step S06: Remote sensing image relative radiation correction evaluation: used to obtain the remote sensing image relative radiation correction evaluation coefficient of the target remote sensing image suitable for acquisition area, compare it with the preset remote sensing image relative radiation correction evaluation coefficient, and process it.
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