A spectral conversion method and device for remote sensing images

Abstract

The present application provides a spectral conversion method and apparatus for remote sensing images. The method includes: determining the three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function corresponding to the remote sensing image; translating and / or scaling the spectral transmittance function so that the peak of the translated and / or scaled spectral transmittance function is equal to the peak of the CIE spectral tristimulus values, and determining the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function; determining the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function; calculating a first correction coefficient between the three primary color functions and the corrected three primary color functions of the remote sensing image; and converting the three primary color functions of the remote sensing image according to the first correction coefficient.

Description

Technical Field

[0001] This application relates to the technical field of remote sensing image processing, and in particular to a spectral conversion method and device for remote sensing images. Background Art

[0002] There are certain differences between the color of the remote sensing image captured by the detector and the color of the actual ground objects, and the color of the remote sensing image is not suitable for the visual habit of the human eye. Therefore, it is necessary to convert the spectrum of the remote sensing image captured by the detector.

[0003] In the prior art, the spectral conversion method for remote sensing images is to directly convert the tristimulus values of the remote sensing image captured by the detector and the tristimulus values of true color, resulting in a large conversion error and affecting the accuracy of the conversion. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide at least a spectral conversion method and device for remote sensing images. By adding a corrected spectral transmittance function, the technical problem of low accuracy rate in the prior art is solved, and the technical effect of improving the conversion accuracy rate is achieved.

[0005] This application mainly includes the following aspects:

[0006] In the first aspect, an embodiment of this application provides a spectral conversion method for remote sensing images. The method includes: determining the three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function corresponding to the remote sensing image; translating and / or scaling the spectral transmittance function so that the peak value of the translated and / or scaled spectral transmittance function is equal to the peak value of the CIE spectral tristimulus values, and determining the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function; determining the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function; calculating the first correction coefficient between the three primary color functions of the remote sensing image and the corrected three primary color functions; and converting the three primary color functions of the remote sensing image according to the first correction coefficient.

[0007] Optionally, the spectral transmittance function includes: a red spectral band transmittance function, a green spectral band transmittance function, and a blue spectral band transmittance function; determining the three primary color functions of the remote sensing image according to the solar spectral radiance function corresponding to the remote sensing image, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function includes: calculating a first product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the red spectral band transmittance function, obtaining a first integral with respect to wavelength on the first product, and determining the first integral as the red spectral band function of the remote sensing image; calculating a second product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the green spectral band transmittance function, obtaining a second integral with respect to wavelength on the second product, and determining the second integral as the green spectral band function of the remote sensing image; calculating a third product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the blue spectral band transmittance function, obtaining a third integral with respect to wavelength on the third product, and determining the third integral as the blue spectral band function of the remote sensing image.

[0008] Optionally, the corrected spectral transmittance function includes: a corrected red spectral band transmittance function, a corrected green spectral band transmittance function, and a corrected blue spectral band transmittance function; determining the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function includes: calculating a fourth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected red spectral band transmittance function, obtaining a fourth integral with respect to wavelength on the fourth product, and determining the fourth integral as the corrected red spectral band function of the remote sensing image; calculating a fifth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected green spectral band transmittance function, obtaining a fifth integral with respect to wavelength on the fifth product, and determining the fifth integral as the corrected green spectral band function of the remote sensing image; calculating a sixth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected blue spectral band transmittance function, obtaining a sixth integral with respect to wavelength on the sixth product, and determining the sixth integral as the corrected blue spectral band function of the remote sensing image.

[0009] Optionally, calculating a first correction coefficient of the three primary color functions of the remote sensing image and the corrected three primary color functions includes: taking a ratio of the corrected three primary color functions and the three primary color functions of the remote sensing image to obtain a first ratio, and determining the first ratio as the first correction coefficient of the three primary color functions of the remote sensing image and the corrected three primary color functions.

[0010] Optionally, the method further includes: determining a standard trichromatic function of the remote sensing image according to a solar spectral radiance function, a spectral reflectivity function of the ground, an atmospheric transmittance function, and CIE spectral tristimulus values; calculating a second correction coefficient of the corrected trichromatic function and the standard trichromatic function; and converting the trichromatic function of the remote sensing image according to the first correction coefficient and the second correction coefficient.

[0011] Optionally, the CIE spectral tristimulus values include: a standard red spectral band transmittance function, a standard green spectral band transmittance function, and a standard blue spectral band transmittance function; and the determining of the standard trichromatic function of the remote sensing image according to the solar spectral radiance function, the spectral reflectivity function of the ground, the atmospheric transmittance function, and the CIE spectral tristimulus values includes: calculating a seventh product of the solar spectral radiance function, the spectral reflectivity function of the ground, the atmospheric transmittance function, and the standard red spectral band transmittance function, obtaining a seventh integral with respect to wavelength on the seventh product, and determining the seventh integral as the standard red spectral band function of the remote sensing image; calculating an eighth product of the solar spectral radiance function, the spectral reflectivity function of the ground, the atmospheric transmittance function, and the standard green spectral band transmittance function, obtaining an eighth integral with respect to wavelength on the eighth product, and determining the eighth integral as the standard green spectral band function of the remote sensing image; calculating a ninth product of the solar spectral radiance function, the spectral reflectivity function of the ground, the atmospheric transmittance function, and the standard blue spectral band transmittance function, obtaining a ninth integral with respect to wavelength on the ninth product, and determining the ninth integral as the standard blue spectral band function of the remote sensing image.

[0012] Optionally, the calculating of the second correction coefficient of the corrected trichromatic function and the standard trichromatic function includes: taking a ratio of the standard trichromatic function and the corrected trichromatic function to obtain a second ratio, and determining the second ratio as the second correction coefficient of the corrected trichromatic function and the standard trichromatic function.

[0013] Optionally, the converting of the trichromatic function of the remote sensing image according to the first correction coefficient and the second correction coefficient includes: multiplying the first correction coefficient, the second correction coefficient, and the trichromatic function of the remote sensing image to determine the trichromatic function of the converted remote sensing image.

[0014] Second aspect, an embodiment of the present application further provides a spectral conversion device for a remote sensing image. The device includes: a first determination module, configured to determine the three primary color functions of the remote sensing image according to the solar spectral radiance function corresponding to the remote sensing image, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function; a second determination module, configured to translate and / or scale the spectral transmittance function so that the peak value of the translated and / or scaled spectral transmittance function is equal to the peak value of the CIE spectral tristimulus values, and determine the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function; a third determination module, configured to determine the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function; a calculation module, configured to calculate a first correction coefficient between the three primary color functions of the remote sensing image and the corrected three primary color functions; a conversion module, configured to convert the three primary color functions of the remote sensing image according to the first correction coefficient.

[0015] Third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are run by the processor, the steps of the spectral conversion method of the remote sensing image described in the first aspect or any possible implementation manner in the first aspect are executed.

[0016] Fourth aspect, an embodiment of the present application further provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, the steps of the spectral conversion of the remote sensing image described in the first aspect or any possible implementation manner in the first aspect are executed.

[0017] A method and device for spectral conversion of remote sensing images provided by an embodiment of the present application. The method includes: determining the three primary color functions of the remote sensing image according to the solar spectral radiance function corresponding to the remote sensing image, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function; translating and / or scaling the spectral transmittance function so that the peak of the translated and / or scaled spectral transmittance function is equal to the peak of the CIE spectral tristimulus values, and determining the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function; determining the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function; calculating a first correction coefficient between the three primary color functions of the remote sensing image and the corrected three primary color functions; and converting the three primary color functions of the remote sensing image according to the first correction coefficient. By adding a corrected spectral transmittance function, the present application solves the technical problem of low accuracy in the prior art and achieves the technical effect of improving the conversion accuracy.

[0018] To make the above objects, features, and advantages of the present application more obvious and understandable, the following specific preferred embodiments are given in conjunction with the accompanying drawings and are described in detail as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for the embodiments. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 The flowchart of a method for spectral conversion of a remote sensing image provided by an embodiment of the present application is shown.

[0021] Figure 2 The flowchart of another method for spectral conversion of a remote sensing image provided by an embodiment of the present application is shown.

[0022] Figure 3 The functional modules of a device for spectral conversion of a remote sensing image provided by an embodiment of the present application are shown.

[0023] Figure 4 The structural schematic diagram of an electronic device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this application. It should be understood that the accompanying drawings in this application are only for the purposes of illustration and description, and are not used to limit the protection scope of this application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowchart may not be implemented in sequence, and steps without logical context relationships may be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of this application.

[0025] In addition, the described embodiments are only some embodiments of this application, rather than all embodiments. The components of the embodiments of this application usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents the selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative efforts belong to the protection scope of this application.

[0026] The spectral conversion method of remote sensing images in the prior art directly converts between remote sensing images and CIE spectral tristimulus values, and the accuracy of this conversion method is relatively low.

[0027] Based on this, the embodiments of this application provide a spectral conversion method and device for remote sensing images. By correcting the spectral transmittance, a corrected spectral transmittance function is obtained, and then a corrected trichromatic function is obtained, which solves the technical problem of low accuracy in the prior art and achieves the technical effect of improving the conversion accuracy.

[0028] Please refer to Figure 1 , Figure 1 which is a flowchart of a spectral conversion method for remote sensing images provided by the embodiments of this application. As Figure 1 shown, a spectral conversion method for remote sensing images provided by the embodiments of this application includes the following steps:

[0029] S101. Determine the trichromatic function of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function corresponding to the remote sensing image.

[0030] Among them, the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function are all obtained when the detector takes a remote sensing image of the ground. The spectral transmittance function includes: the red spectral band transmittance function, the green spectral band transmittance function, and the blue spectral band transmittance function.

[0031] The three primary color functions of the remote sensing image are determined by the following formula:

[0032]

[0033] In formula (1), R sensor refers to the red spectral band function of the remote sensing image, G sensor refers to the green spectral band function of the remote sensing image, B sensor refers to the blue spectral band function of the remote sensing image, λ refers to the wavelength, and η R (λ) refers to the red spectral band transmittance function, η G (λ) refers to the green spectral band transmittance function, η B (λ) refers to the blue spectral band transmittance function, ρ(λ) refers to the spectral reflectance function of the ground, τ(λ) refers to the atmospheric transmittance function, and S(λ) refers to the solar spectral radiance function. That is to say, the three primary color functions of the remote sensing image include the red spectral band function, the green spectral band function, and the blue spectral band function of the remote sensing image.

[0034] The specific calculation method is as follows: calculate the first product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the red spectral band transmittance function, obtain the first integral with respect to the wavelength on the first product, and determine the first integral as the red spectral band function of the remote sensing image; calculate the second product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the green spectral band transmittance function, obtain the second integral with respect to the wavelength on the second product, and determine the second integral as the green spectral band function of the remote sensing image; calculate the third product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the blue spectral band transmittance function, obtain the third integral with respect to the wavelength on the third product, and determine the third integral as the blue spectral band function of the remote sensing image.

[0035] S102. Translate and / or scale the spectral transmittance function so that the peak of the translated and / or scaled spectral transmittance function is equal to the peak of the CIE spectral tristimulus values, and determine the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function.

[0036] Select the curves corresponding to the colors from the spectral transmittance function and the CIE spectral tristimulus values for matching. Among them, the CIE spectral tristimulus values include: the transmittance function of the standard red spectral band, the transmittance function of the standard green spectral band, and the transmittance function of the standard blue spectral band.

[0037] That is, translate and / or scale the transmittance function of the red spectral band so that the peak value of the translated and / or scaled transmittance function of the red spectral band is equal to the peak value of the transmittance function of the standard red spectral band in the CIE spectral tristimulus values, and determine the translated and / or scaled transmittance function of the red spectral band as the corrected transmittance function of the red spectral band.

[0038] Translate and / or scale the transmittance function of the green spectral band so that the peak value of the translated and / or scaled transmittance function of the green spectral band is equal to the peak value of the transmittance function of the standard green spectral band in the CIE spectral tristimulus values, and determine the translated and / or scaled transmittance function of the green spectral band as the corrected transmittance function of the green spectral band.

[0039] Translate and / or scale the transmittance function of the blue spectral band so that the peak value of the translated and / or scaled transmittance function of the blue spectral band is equal to the peak value of the transmittance function of the standard blue spectral band in the CIE spectral tristimulus values, and determine the translated and / or scaled transmittance function of the blue spectral band as the corrected transmittance function of the blue spectral band.

[0040] The corrected spectral transmittance function includes: the corrected transmittance function of the red spectral band, the corrected transmittance function of the green spectral band, and the corrected transmittance function of the blue spectral band.

[0041] S103. Determine the corrected trichromatic functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function.

[0042] Determine the corrected trichromatic functions of the remote sensing image through the following formula:

[0043]

[0044] In formula (2), R temp refers to the corrected function of the red spectral band, G temp refers to the corrected function of the green spectral band, B temp refers to the corrected function of the blue spectral band, η′ R (λ) refers to the corrected transmittance function of the red spectral band, η′ G (λ) refers to the corrected transmittance function of the green spectral band, η′ B (λ) refers to the corrected transmittance function of the blue spectral band.

[0045] The specific calculation method is as follows: calculate the fourth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the transmittance function of the corrected red spectral band, obtain the fourth integral with respect to wavelength on the fourth product, and determine the fourth integral as the corrected red spectral band function of the remote sensing image; calculate the fifth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the transmittance function of the corrected green spectral band, obtain the fifth integral with respect to wavelength on the fifth product, and determine the fifth integral as the corrected green spectral band function of the remote sensing image; calculate the sixth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the transmittance function of the corrected blue spectral band, obtain the sixth integral with respect to wavelength on the sixth product, and determine the sixth integral as the blue spectral band function of the remote sensing image.

[0046] S104. Calculate the first correction coefficient of the three primary color functions of the remote sensing image and the corrected three primary color functions.

[0047] Divide the corrected three primary color functions by the three primary color functions of the remote sensing image to obtain a first ratio, and determine the first ratio as the first correction coefficient of the three primary color functions of the remote sensing image and the corrected three primary color functions.

[0048] Among them, select the functions of the corresponding colors from the corrected three primary color functions and the three primary color functions of the remote sensing image for calculation. The specific calculation method is as follows:

[0049]

[0050] In formula (3), M st is the first correction coefficient, and M st can be a matrix.

[0051] That is to say, make R temp equal to the product of M st and R sensor , make G temp equal to the product of M st and G sensor , and make B temp equal to the product of M st and B sensor .

[0052] S105. Convert the three primary color functions of the remote sensing image according to the first correction coefficient.

[0053] Multiply the three primary color functions of the remote sensing image by the first correction coefficient to convert the three primary color functions of the remote sensing image into corrected three primary color functions.

[0054] Please refer to Figure 2 ,Figure 2 It is a flowchart of another spectral conversion method for remote sensing images provided by an embodiment of this application. As Figure 2 shown, another spectral conversion method for remote sensing images provided by an embodiment of this application includes the following steps:

[0055] S201. Determine the standard trichromatic functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the CIE spectral tristimulus values.

[0056] The CIE spectral tristimulus values include: the standard red spectral band transmittance function, the standard green spectral band transmittance function, and the standard blue spectral band transmittance function.

[0057] The standard trichromatic functions of the remote sensing image are determined by the following formula:

[0058]

[0059] In formula (4), refers to the standard red spectral band transmittance function, refers to the standard green spectral band transmittance function, refers to the standard blue spectral band transmittance function, R real refers to the standard red spectral band function, G real refers to the standard green spectral band function, B real refers to the standard blue spectral band function.

[0060] That is to say, the standard trichromatic functions of the remote sensing image include the standard red spectral band function, the standard green spectral band function, and the standard blue spectral band function.

[0061] The specific calculation method is as follows: Calculate the seventh product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the standard red spectral band transmittance function, obtain the seventh integral with respect to wavelength on the seventh product, and determine the seventh integral as the standard red spectral band function of the remote sensing image; Calculate the eighth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the standard green spectral band transmittance function, obtain the eighth integral with respect to wavelength on the eighth product, and determine the eighth integral as the standard green spectral band function of the remote sensing image; Calculate the ninth product of the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the standard blue spectral band transmittance function, obtain the ninth integral with respect to wavelength on the ninth product, and determine the ninth integral as the standard blue spectral band function of the remote sensing image.

[0062] S202. Calculate the second correction coefficient of the corrected trichromatic functions and the standard trichromatic functions.

[0063] Compare the standard trichromatic function with the corrected trichromatic function to obtain a second ratio, and determine the second ratio as the second correction coefficient of the corrected trichromatic function with respect to the standard trichromatic function.

[0064] Among them, select the functions corresponding to the colors from the standard trichromatic function and the corrected trichromatic function for calculation. The specific calculation method is as follows:

[0065]

[0066] In formula (5), M tr is the second correction coefficient, and M tr can be a matrix.

[0067] That is to say, make R real equal to the product of M tr and R temp , G real equal to the product of M tr and G temp , and B real equal to the product of M tr and B temp .

[0068] S203. According to the first correction coefficient and the second correction coefficient, convert the trichromatic function of the remote sensing image.

[0069] Multiply the first correction coefficient, the second correction coefficient and the trichromatic function of the remote sensing image to determine the trichromatic function of the converted remote sensing image. The specific formula is as follows:

[0070]

[0071] Please refer to Figure 3 , Figure 3 which is the functional module diagram of a spectral conversion device for a remote sensing image provided by an embodiment of the present application. As Figure 3As shown in the figure, the functional block diagram of a spectral conversion device for remote sensing images provided by an embodiment of the present application. The spectral conversion device 10 for remote sensing images includes: a first determination module 101, a second determination module 102, a third determination module 103, a calculation module 104, and a conversion module 105. Among them, the first determination module 101 is configured to determine the three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the spectral transmittance function corresponding to the remote sensing image; the second determination module 102 is configured to translate and / or scale the spectral transmittance function so that the peak of the translated and / or scaled spectral transmittance function is equal to the peak of the CIE spectral tristimulus values, and determine the translated and / or scaled spectral transmittance function as the corrected spectral transmittance function; the third determination module 103 is configured to determine the corrected three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the corrected spectral transmittance function; the calculation module 104 is configured to calculate the first correction coefficient between the three primary color functions of the remote sensing image and the corrected three primary color functions; the conversion module 105 is configured to convert the three primary color functions of the remote sensing image according to the first correction coefficient.

[0072] The spectral conversion device 10 for remote sensing images further includes: a fourth determination module, configured to determine the standard three primary color functions of the remote sensing image according to the solar spectral radiance function, the spectral reflectance function of the ground, the atmospheric transmittance function, and the CIE spectral tristimulus values; the calculation module is further configured to calculate the second correction coefficient between the corrected three primary color functions and the standard three primary color functions; the conversion module is further configured to convert the three primary color functions of the remote sensing image according to the first correction coefficient and the second correction coefficient.

[0073] Since the principle of the device in the embodiment of the present application for solving problems is similar to the spectral conversion method of the remote sensing image in the above embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0074] Based on the same application concept, refer to Figure 4 As shown in the figure, the structural schematic diagram of an electronic device 20 provided by an embodiment of the present application includes: a processor 201, a memory 202, and a bus 203. The memory 202 stores machine-readable instructions executable by the processor 201. When the electronic device 20 runs, the processor 201 communicates with the memory 202 through the bus 203. When the machine-readable instructions are run by the processor 201, the steps of the spectral conversion method of the remote sensing image provided in the above embodiment are executed.

[0075] Based on the same application concept, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the steps of the spectral conversion method of the remote sensing image provided in the above embodiment. Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, etc. When the computer program on the storage medium is run, it can execute the above spectral conversion method of the remote sensing image. By correcting the spectral transmittance, a corrected spectral transmittance function is obtained, and then a corrected trichromatic function is obtained, which solves the technical problem of low accuracy in the prior art and achieves the technical effect of improving the conversion accuracy.

[0076] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described systems and devices can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein. In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, in each embodiment of the present application, the various functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0079] If the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0080] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the technical field can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A spectral conversion method for remote sensing images, characterized in that: The method comprises: Determining the three primary color functions of the remote sensing image according to the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the spectral transmittance function corresponding to the remote sensing image; Shifting and / or scaling the spectral transmittance function so that the peak value of the shifted and / or scaled spectral transmittance function is equal to the peak value of the CIE spectral tristimulus value, and determining the shifted and / or scaled spectral transmittance function as a corrected spectral transmittance function; Determining the corrected three primary color functions of the remote sensing image according to the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the corrected spectral transmittance function; Calculating the three primary color functions of the remote sensing image and the first correction coefficient of the corrected three primary color functions; The three primary color functions of the remote sensing image are converted according to the first correction coefficient.

2. The method according to claim 1, characterized in that The spectral transmittance function includes: a red spectral segment transmittance function, a green spectral segment transmittance function, and a blue spectral segment transmittance function; determining the three primary color functions of the remote sensing image according to the solar spectral radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function, and the spectral transmittance function corresponding to the remote sensing image includes: Calculating a first product of a solar spectrum radiance function, a ground spectral reflectance function, an atmospheric transmittance function, and a red spectrum transmittance function, obtaining a first integral with respect to wavelength on the first product, and determining the first integral as a red spectrum function of the remote sensing image; Calculating a second product of a solar spectrum radiance function, a ground spectral reflectance function, an atmospheric transmittance function, and a green spectrum transmittance function, obtaining a second integral with respect to wavelength on the second product, and determining the second integral as a green spectrum function of the remote sensing image; Calculate the third product of the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the blue spectrum segment transmittance function, obtain a third integral with respect to the wavelength on the third product, and determine the third integral as the blue spectrum segment function of the remote sensing image.

3. The method according to claim 1, characterized in that The corrected spectral transmittance function includes: a corrected red spectral transmittance function, a corrected green spectral transmittance function, and a corrected blue spectral transmittance function; the corrected three primary color functions of the remote sensing image are determined based on the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function, and the corrected spectral transmittance function, including: Calculating a fourth product of a solar spectrum radiance function, a ground spectral reflectance function, an atmospheric transmittance function, and a corrected red spectrum transmittance function, obtaining a fourth integral with respect to wavelength on the fourth product, and determining the fourth integral as the corrected red spectrum function of the remote sensing image; Calculating a fifth product of a solar spectrum radiance function, a ground spectral reflectance function, an atmospheric transmittance function, and a corrected green spectrum transmittance function, obtaining a fifth integral with respect to wavelength on the fifth product, and determining the fifth integral as the corrected green spectrum function of the remote sensing image; Calculate the sixth product of the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the corrected blue spectrum segment transmittance function, obtain a sixth integral with respect to the wavelength on the sixth product, and determine the sixth integral as the blue spectrum segment function of the remote sensing image.

4. The method according to claim 1, wherein The calculating of the three primary color functions of the remote sensing image and the first correction coefficient of the corrected three primary color functions includes: The corrected three-primary color function is compared with the three-primary color function of the remote sensing image to obtain a first ratio, and the first ratio is determined as a first correction coefficient of the three-primary color function of the remote sensing image and the corrected three-primary color function.

5. The method according to claim 1, wherein The method further comprises: Determining the standard three primary color functions of the remote sensing image according to the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the CIE spectral tristimulus values; Calculating a second correction coefficient of the corrected three-primary color function and the standard three-primary color function; The three primary color functions of the remote sensing image are converted according to the first correction coefficient and the second correction coefficient.

6. The method according to claim 5, characterized in that The CIE spectral tristimulus values include: a standard red spectral segment transmittance function, a standard green spectral segment transmittance function, and a standard blue spectral segment transmittance function; determining the standard three primary color functions of the remote sensing image based on the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function, and the CIE spectral tristimulus values includes: Calculating a seventh product of a solar spectrum radiation brightness function, a ground spectrum reflectance function, an atmospheric transmittance function, and a standard red spectrum transmittance function, obtaining a seventh integral with respect to wavelength on the seventh product, and determining the seventh integral as the standard red spectrum function of the remote sensing image; Calculating an eighth product of a solar spectrum radiance function, a ground spectral reflectance function, an atmospheric transmittance function, and a standard green spectrum transmittance function, obtaining an eighth integral with respect to wavelength on the eighth product, and determining the eighth integral as the standard green spectrum function of the remote sensing image; Calculate the ninth product of the solar spectrum radiation brightness function, the ground spectral reflectance function, the atmospheric transmittance function and the standard blue spectrum segment transmittance function, obtain a ninth integral with respect to the wavelength on the ninth product, and determine the ninth integral as the standard blue spectrum segment function of the remote sensing image.

7. The method according to claim 5, characterized in that The calculating of the second correction coefficients of the corrected three-primary color function and the standard three-primary color function includes: The standard three-primary color function is compared with the corrected three-primary color function to obtain a second ratio, and the second ratio is determined as a second correction coefficient of the corrected three-primary color function to the standard three-primary color function.

8. The method according to claim 5, characterized in that The converting of the three primary color functions of the remote sensing image according to the first correction coefficient and the second correction coefficient includes: The first correction coefficient, the second correction coefficient and the three primary color function of the remote sensing image are multiplied to convert the three primary color function of the remote sensing image.

9. A spectral conversion device for remote sensing images, characterized in that: The device comprises: A first determining module is configured to determine the three primary color functions of the remote sensing image based on a solar spectrum radiation brightness function, a ground spectral reflectance function, an atmospheric transmittance function, and a spectral transmittance function corresponding to the remote sensing image; a second determining module, configured to translate and / or scale the spectral transmittance function so that a peak value of the translated and / or scaled spectral transmittance function is equal to a peak value of a CIE spectral tristimulus value, and determine the translated and / or scaled spectral transmittance function as a corrected spectral transmittance function; A third determining module is configured to determine a corrected three primary color function of the remote sensing image based on a solar spectrum radiation brightness function, a ground spectral reflectance function, an atmospheric transmittance function, and a corrected spectral transmittance function; A calculation module, configured to calculate the three primary color functions of the remote sensing image and a first correction coefficient of the corrected three primary color functions; A conversion module is used to convert the three primary color functions of the remote sensing image according to the first correction coefficient.

10. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate via the bus. When the processor is running, the machine-readable instructions execute the steps of the spectral conversion method for remote sensing images as described in any one of claims 1 to 8.

Images