A method for quantitative processing of space target visible light image data

Abstract

The embodiment of the present application relates to the technical field of space exploration, in particular to a method for quantitatively processing visible light image data of a space target. The method comprises: acquiring space target image data in a detection direction, the space target image data comprising a plurality of gray values; wherein the space target image data comprises a detection target and a plurality of stars; determining magnitude values of the stars according to the detection direction and a visible light star catalog file; selecting a first calibration star and a second calibration star from the plurality of stars, determining the luminosity of the first calibration star according to the magnitude value of the first calibration star, and determining the luminosity of the second calibration star according to the magnitude value of the second calibration star; determining the sum of the gray values of the first calibration star, the sum of the gray values of the second calibration star, and the sum of the gray values of the detection target; establishing a mapping relationship between the luminosity and the sum of the gray values according to the sum of the gray values of the first calibration star, the luminosity of the first calibration star, the sum of the gray values of the second calibration star, and the luminosity of the second calibration star; and determining the magnitude value of the detection target according to the mapping relationship and the sum of the gray values of the detection target.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application relates to the technical field of space exploration, in particular to a method for quantitatively processing space target visible light image data. BACKGROUND

[0002] At present, with the improvement of space target detection means, a large amount of space target visible light image data can be obtained.

[0003] In the prior art, the space target visible light image data processing method mainly stays in the processing of target position and the statistical analysis of target gray scale, and the quantitative processing of data is not realized, which seriously limits the effective application of data. Through the quantitative processing of the space target visible light image data, the star magnitude value of the space target under different detection angles and different detection distances can be obtained, and the star magnitude value plays an important role in the theoretical model verification of the space target and the argument design of the detection equipment index.

[0004] Therefore, a method for quantitatively processing space target visible light image data is urgently needed, which can obtain the star magnitude value of the space target. SUMMARY

[0005] In order to solve the problem that the prior art is difficult to measure the star magnitude value of the space exploration target, the embodiment of the present application provides a method for quantitatively processing space target visible light image data, which can measure the star magnitude value of the detection target.

[0006] In a first aspect, the embodiment of the present application provides a method for quantitatively processing space target visible light image data, comprising:

[0007] Obtaining space target image data composed of multiple gray scale values in a detection direction; wherein the space target image data comprises a detection target and multiple stars;

[0008] Determining the star magnitude value of the stars according to the detection direction and a visible light star table file;

[0009] Selecting a first calibration star and a second calibration star from the multiple stars, determining the luminosity of the first calibration star according to the star magnitude value of the first calibration star, and determining the luminosity of the second calibration star according to the star magnitude value of the second calibration star;

[0010] Determining the gray scale sum of the first calibration star, the gray scale sum of the second calibration star and the gray scale sum of the detection target;

[0011] Establishing a mapping relationship between the luminosity and the gray scale sum according to the gray scale sum, the luminosity of the first calibration star and the gray scale sum, the luminosity of the second calibration star;

[0012] Determining the star magnitude value of the detection target according to the mapping relationship and the gray scale sum of the detection target.

[0013] In a possible design, the luminosity formula for determining luminosity of a star according to a magnitude value of the star is as follows:

[0014]

[0015] wherein E is luminosity, and m is the magnitude value.

[0016] In a possible design, the determining of the gray sum of the first calibration star, the gray sum of the second calibration star, and the gray sum of the detection target includes the following steps.

[0017] determining the center point coordinates of the first calibration star and the center point coordinates of the second calibration star according to the detection direction and the visible light star catalog file;

[0018] determining the center point coordinates of the detection target according to the detection direction and the orbit data of the detection target;

[0019] determining an extraction range according to the spot size of the star and the spot size of the detection target in the space target image data, so that the extraction range is greater than the spot of the largest size in the star and the detection target;

[0020] determining the first calibration region with the center point coordinates of the first calibration star as the center and the extraction range as the range;

[0021] determining the second calibration region with the center point coordinates of the second calibration star as the center and the extraction range as the range;

[0022] determining the third calibration region with the center point coordinates of the detection target as the center and the extraction range as the range;

[0023] determining the gray sum of the first calibration star, the gray sum of the second calibration star, and the gray sum of the detection target according to the average gray values of the first calibration region, the second calibration region, and the third calibration region respectively.

[0024] In a possible design, the determining of the gray sum of the first calibration star, the gray sum of the second calibration star, and the gray sum of the detection target according to the average gray values of the first calibration region, the second calibration region, and the third calibration region respectively includes the following steps.

[0025] multiplying the average gray value of the first calibration region by a threshold coefficient to obtain a first threshold value, and adding the gray values higher than the first threshold value in the first calibration region to obtain the gray sum of the first calibration star;

[0026] The second threshold is obtained by multiplying the average gray value of the second calibration region with a threshold coefficient, and the gray sum of the second calibration star is obtained by adding the gray values higher than the second threshold in the second calibration region.

[0027] The third threshold is obtained by multiplying the average gray value of the third calibration region with a threshold coefficient, and the gray sum of the detection target is obtained by adding the gray values higher than the third threshold in the third calibration region.

[0028] In a possible design, the gray average value is obtained by the following formula:

[0029]

[0030] wherein MEAN i is the gray average value, (x i , y i ) is the center point coordinate, (2R i +1) 2 is the pixel number of the extraction range, and A(m, n) is the gray value of the pixel in the mth row and the nth column in the extraction range.

[0031] In a possible design, the mapping relationship between the illumination and the gray sum is established according to the gray sum and the illumination of the first calibration star and the gray sum and the illumination of the second calibration star, and the mapping relationship comprises the following steps.

[0032] A linear fitting function E=a×sum+b between the illumination and the gray sum is established.

[0033] The values of a and b are obtained by inputting the gray sum and the illumination of the first calibration star and the gray sum and the illumination of the second calibration star into the linear fitting function, and finally the mapping relationship between the illumination and the gray sum is obtained.

[0034] wherein E is the illumination, and sum is the gray sum.

[0035] In a possible design, the star magnitude value of the detection target is determined according to the mapping relationship and the gray sum of the detection target, and the method comprises the following steps.

[0036] The illumination of the detection target is determined according to the mapping relationship and the gray sum of the detection target.

[0037] The star magnitude value of the detection target is determined according to the illumination of the detection target.

[0038] In a second aspect, the embodiment of the present application further provides a device for quantitatively processing visible light image data of a space target, which comprises:

[0039] An acquisition unit is configured to acquire spatial target image data composed of multiple gray values in a detection direction, wherein the spatial target image data comprises a detection target and multiple stars;

[0040] A matching unit is configured to determine magnitude values of the stars according to the detection direction and a visible light star catalog file;

[0041] A selection unit is configured to select a first calibration star and a second calibration star from the multiple stars, determine an illumination of the first calibration star according to the magnitude value of the first calibration star, and determine an illumination of the second calibration star according to the magnitude value of the second calibration star;

[0042] A summation unit is configured to determine a gray sum of the first calibration star, a gray sum of the second calibration star, and a gray sum of the detection target;

[0043] An establishment unit is configured to establish a mapping relationship between the illumination and the gray sum according to the gray sum, the illumination of the first calibration star, and the gray sum, the illumination of the second calibration star;

[0044] A calculation unit is configured to determine a magnitude value of the detection target according to the mapping relationship and the gray sum of the detection target.

[0045] In a third aspect, an embodiment of the present application further provides a computing device, comprising a memory and a processor, the memory storing a computer program, and the processor executes the computer program to implement the method in any one of the first aspect.

[0046] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium storing a computer program, and the computer program, when executed in a computer, causes the computer to execute the method in any one of the first aspect.

[0047] Compared with the prior art, the present application has at least the following beneficial effects:

[0048] In the embodiment, first, the spatial target image data detected by the detector is acquired, the spatial target image data is accompanied by a detection direction, and the spatial target image data is composed of a plurality of pixels with gray values. In the spatial target image data, in addition to the detected target, a plurality of stars are also included. Since the stars have fixed positions in the sky and the brightness remains unchanged, according to the detection direction of the detector, the apparent magnitude values of the stars in the image data can be obtained in combination with the visible light star table file. Two stars are selected from the plurality of stars as calibration stars, i.e., a first calibration star and a second calibration star. According to the apparent magnitude values of the first calibration star and the second calibration star, the luminosity of each of the two stars can be obtained. The first calibration star, the second calibration star and the detected target are embodied as a light spot composed of a high gray value pixel in the image data, and the gray sum of the first calibration star, the second calibration star and the detected target is determined according to the gray value of the light spot. According to the gray sum and the luminosity of the first calibration star and the second calibration star, a mapping relationship between the gray sum and the luminosity is established. After the mapping relationship is obtained, the apparent magnitude value of the detected target can be determined according to the gray sum of the detected target. BRIEF DESCRIPTION OF DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, hereinafter, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0050] Figure 1 is a flow chart of a spatial target visible image data quantitative processing method provided by an embodiment of the present application;

[0051] Figure 2 is a hardware architecture diagram of a computing device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, hereinafter, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0053] Hereinafter, the specific implementation of the above concept will be described.

[0054] Please refer to Figure 1 The embodiment of the present application provides a spatial target visible light image data quantitative processing method, which comprises:

[0055] In step 100, spatial target image data composed of multiple gray scale values in a detection direction is acquired; wherein the spatial target image data comprises a detection target and multiple stars;

[0056] In step 102, the magnitude of the stars is determined according to the detection direction and a visible light star table file;

[0057] In step 104, a first calibration star and a second calibration star are selected from the multiple stars, the luminosity of the first calibration star is determined according to the magnitude of the first calibration star, and the luminosity of the second calibration star is determined according to the magnitude of the second calibration star;

[0058] In step 106, the gray scale sum of the first calibration star, the gray scale sum of the second calibration star, and the gray scale sum of the detection target are determined;

[0059] In step 108, a mapping relationship between luminosity and gray scale sum is established according to the gray scale sum and the luminosity of the first calibration star and the gray scale sum and the luminosity of the second calibration star;

[0060] In step 110, the magnitude of the detection target is determined according to the mapping relationship and the gray scale sum of the detection target.

[0061] In the embodiment, first, spatial target image data detected by a detector is acquired, the spatial target image data is accompanied by a detection direction, and the spatial target image data is composed of multiple pixels with gray scale values. In the spatial target image data, in addition to the detection target, multiple stars are also included. Since the positions of the stars in the sky are fixed and the brightness remains unchanged, according to the detection direction of the detector, the magnitude of each star in the image data can be obtained in combination with a visible light star table file. Two stars are selected as calibration stars from the multiple stars, namely a first calibration star and a second calibration star. According to the magnitudes of the first calibration star and the second calibration star, the luminosities of the two stars can be obtained respectively. The first calibration star, the second calibration star, and the detection target are embodied as a light spot composed of a high gray scale value pixel in the image data, and the gray scale sum of the first calibration star, the second calibration star, and the detection target is determined according to the gray scale value of the light spot. According to the gray scale sum and the luminosity of the first calibration star and the second calibration star, a mapping relationship between the gray scale sum and the luminosity is established. After the mapping relationship is obtained, the magnitude of the detection target can be determined according to the gray scale sum of the detection target.

[0062] For step 102, in some embodiments of the present application, the luminosity formula for determining the luminosity of a star according to the magnitude of the star is as follows:

[0063]

[0064] Wherein, E is the luminosity, and m is the magnitude.

[0065] In the embodiment, the luminosity of the star can be calculated according to the magnitude of the star by using the above formula. In the image data of the space target, there are a plurality of stars. According to the detection direction, the position and brightness of the stars in the image are matched with the information in the visible light star table file. After the matching is completed, the center point coordinates and the magnitude of the stars in the image can be obtained.

[0066] For step 104, in some embodiments of the application, the magnitude of the first calibration star and the magnitude of the second calibration star need to be different by more than 2 magnitudes.

[0067] For step 106, in some embodiments of the application, the gray sum of the first calibration star, the gray sum of the second calibration star and the gray sum of the detected target are determined, including:

[0068] The center point coordinates of the first calibration star and the center point coordinates of the second calibration star are determined according to the detection direction and the visible light star table file;

[0069] The center point coordinates of the detected target are determined according to the detection direction and the orbit data of the detected target;

[0070] The extraction range is determined according to the size of the star in the image data of the space target and the size of the detected target, so that the extraction range is greater than the size of the largest spot in the stars and the detected target;

[0071] The first calibration region is determined with the center point coordinates of the first calibration star as the center and the extraction range as the range;

[0072] The second calibration region is determined with the center point coordinates of the second calibration star as the center and the extraction range as the range;

[0073] The third calibration region is determined with the center point coordinates of the detected target as the center and the extraction range as the range;

[0074] The gray sum of the first calibration star, the gray sum of the second calibration star and the gray sum of the detected target are determined according to the average gray values of the first calibration region, the second calibration region and the third calibration region, respectively.

[0075] In the embodiment, in the acquired image, the stars are in the form of light spots. The center point coordinate of the star is a point, and in order to obtain the gray sum of the star, the light-emitting area of the star needs to be first circled. Therefore, the size of the extraction range is first determined, and the size of the extraction range is greater than the light spot of the largest star or the detection target, so that the extraction range can cover all the light spots. After the extraction range is determined, the first region of the first calibration star is circled with the center point coordinate of the first calibration star as the center and the extraction range as the extension range. Similarly, the second region of the second calibration star and the third region of the detection target are circled. The gray average values in the first region, the second region and the third region are calculated respectively, the pixels with low gray are removed according to the gray average values, the pixels with high gray are summed, and the gray sum is obtained.

[0076] Further, in some embodiments of the present application, the gray sum of the first calibration star, the gray sum of the second calibration star and the gray sum of the detection target are determined according to the average gray values of the first calibration region, the second calibration region and the third calibration region respectively, comprising:

[0077] The average gray value of the first calibration region is multiplied by a threshold coefficient to obtain a first threshold, and the gray values in the first calibration region higher than the first threshold are added to obtain the gray sum of the first calibration star;

[0078] The average gray value of the second calibration region is multiplied by a threshold coefficient to obtain a second threshold, and the gray values in the second calibration region higher than the second threshold are added to obtain the gray sum of the second calibration star;

[0079] The average gray value of the third calibration region is multiplied by a threshold coefficient to obtain a third threshold, and the gray values in the third calibration region higher than the third threshold are added to obtain the gray sum of the detection target.

[0080] In the embodiment, only the pixels with low gray are removed by using the gray average value, and the gray sum obtained may have errors. In order to obtain a more accurate calculation of the gray sum, therefore, the gray average value needs to be multiplied by a threshold coefficient to obtain a threshold, i i × MEAN i ; wherein, δ i is a threshold coefficient, which is adjusted according to the actual situation of the image, and is usually in the range of 0.8-2.

[0081] In some embodiments of the present application, the gray average value is calculated by the following formula:

[0082]

[0083] wherein, MEAN i is the gray average value, (x​i , y i ) is the center point coordinate, (2R i +1) 2 is the number of pixels in the extraction range, and A(m, n) is the gray value of the pixel in the mth row and nth column in the extraction range.

[0084] For step 108, in some embodiments of the present application, a mapping relationship between the illumination and the gray sum is established according to the gray sum and the illumination of the first calibration star and the gray sum and the illumination of the second calibration star, including:

[0085] A linear fitting function E=a×sum+b between the illumination and the gray sum is established.

[0086] The values of a and b are obtained by bringing the gray sum and the illumination of the first calibration star and the gray sum and the illumination of the second calibration star into the linear fitting function, and finally the mapping relationship between the illumination and the gray sum is obtained.

[0087] Wherein, E is the illumination, and sum is the gray sum.

[0088] In this embodiment, the illumination E1 of the first calibration star and the illumination E2 of the second calibration star are obtained according to the magnitude values of the two calibration stars, Wherein, m1 is the magnitude value of the first calibration star, and m2 is the magnitude value of the second calibration star. E1, E2, the gray sum sum1 of the first calibration star and the gray sum sum2 of the second calibration star obtained in the above step are brought into the linear fitting function, and a and b are obtained.

[0089] For step 110, in some embodiments of the present application, the magnitude value of the detection target is determined according to the mapping relationship and the gray sum of the detection target, including:

[0090] The illumination of the detection target is determined according to the mapping relationship and the gray sum of the detection target.

[0091] The magnitude value of the detection target is determined according to the illumination of the detection target.

[0092] In this embodiment, after obtaining the gray sum of the detection target, the illumination of the detection target can be obtained by using the above mapping relationship Wherein, sum m is the gray sum of the detection target. After obtaining the illumination E m of the detection target, the magnitude value of the detection target is calculated by using the following formula:

[0093]

[0094] Wherein, R is the distance of the detection device relative to the space target, which can be calculated according to the position of the detection device and the target orbit data.

[0095] The embodiment of the present application also provides a device for quantitatively processing space target visible image data, and the device embodiment can be realized by software, or realized by hardware or a combination of software and hardware. From the hardware layer, as shown in the figure, a hardware architecture diagram of a computing device where the device for quantitatively processing space target visible image data is provided in the embodiment of the present application, in addition to the processor, the memory, the network interface and the non-volatile memory shown in the figure, the computing device where the device in the embodiment can usually also include other hardware, such as a forwarding chip responsible for processing packets and the like. Taking the software implementation as an example, as a device in a logical sense, it is formed by the CPU of the computing device where the device is located to read the corresponding computer program in the non-volatile memory into the memory and run. Figure 2 Figure 2 The computing device where the device in the embodiment is located can usually also include other hardware, such as a forwarding chip responsible for processing packets and the like. Taking the software implementation as an example, as a device in a logical sense, it is formed by the CPU of the computing device where the device is located to read the corresponding computer program in the non-volatile memory into the memory and run.

[0096] The device comprises:

[0097] The acquisition unit is configured to acquire space target image data composed of a plurality of gray scale values in a detection direction, wherein the space target image data comprises a detection target and a plurality of stars.

[0098] The matching unit is configured to determine the magnitude of the stars according to the detection direction and the visible light star catalog file.

[0099] The selection unit is configured to select a first calibration star and a second calibration star from the plurality of stars, determine the luminosity of the first calibration star according to the magnitude of the first calibration star, and determine the luminosity of the second calibration star according to the magnitude of the second calibration star.

[0100] The summation unit is configured to determine the sum of the gray scale of the first calibration star, the sum of the gray scale of the second calibration star and the sum of the gray scale of the detection target.

[0101] The establishment unit is configured to establish a mapping relationship between the luminosity and the sum of the gray scale according to the sum of the gray scale of the first calibration star, the luminosity, the sum of the gray scale of the second calibration star and the luminosity.

[0102] The calculation unit is configured to determine the magnitude of the detection target according to the mapping relationship and the sum of the gray scale of the detection target.

[0103] It can be understood that the structure shown in the embodiment of the present application does not constitute a specific limitation on the device for quantitatively processing space target visible image data. In other embodiments of the present application, the device for quantitatively processing space target visible image data can include more or fewer components than those shown, or combine certain components, or split certain components, or different component arrangements. The components shown can be realized by hardware, software or a combination of software and hardware.​

[0104] The information interaction, execution process and the like between the modules in the device are based on the same concept as the method embodiments of the present application, and the specific content can be referred to the description in the method embodiments of the present application, which will not be described here.

[0105] The embodiment of the present application further provides a computing device, comprising a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the spatial target visible image data quantitative processing method in any embodiment of the present application.

[0106] The embodiment of the present application further provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program, when executed by a processor, causes the processor to execute the spatial target visible image data quantitative processing method in any embodiment of the present application.

[0107] Specifically, a system or device equipped with a storage medium can be provided, the storage medium stores software program codes for realizing the functions of any embodiment of the above embodiments, and the computer (or CPU or MPU) of the system or device reads and executes the program codes stored in the storage medium.

[0108] In this case, the program codes read from the storage medium can realize the functions of any embodiment of the above embodiments, and thus the program codes and the storage medium storing the program codes constitute a part of the present application.

[0109] The storage medium embodiments for providing the program codes include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, nonvolatile memory cards and ROMs. Alternatively, the program codes can be downloaded from a server computer through a communication network.

[0110] In addition, it should be clear that not only the program codes read by the computer can be executed, but also part or all of the actual operations can be completed by the operating system and the like operating on the computer based on the instructions of the program codes, so as to realize the functions of any embodiment of the above embodiments.

[0111] In addition, it can be understood that the program codes read from the storage medium can be written into the memory provided in the expansion board inserted into the computer or the memory provided in the expansion module connected to the computer, and then part and all of the actual operations can be executed by the CPU and the like installed on the expansion board or the expansion module based on the instructions of the program codes, so as to realize the functions of any embodiment of the above embodiments.

[0112] It should be noted that the terms such as first and second are used herein merely to differentiate one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0113] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, and the foregoing program can be stored in a computer readable storage medium, and the program performs the steps including the above-mentioned method embodiments when executed; and the foregoing storage medium includes various storage medium capable of storing program codes, such as ROM, RAM, magnetic disc or optical disc.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for quantitative processing of visible light image data of space targets, characterized in that, include: Acquire spatial target image data consisting of multiple grayscale values ​​along the detection direction; wherein, the spatial target image data includes the detection target and multiple stars; The magnitude of the star is determined based on the probe direction and the visible light star catalog file; A first calibration star and a second calibration star are selected from the plurality of stars. The illuminance of the first calibration star is determined based on its magnitude value, and the illuminance of the second calibration star is determined based on its magnitude value. Determine the sum of gray levels of the first calibrated star, the sum of gray levels of the second calibrated star, and the sum of gray levels of the detected target; Establish a mapping relationship between illuminance and grayscale based on the grayscale and illuminance of the first calibrated star and the grayscale and illuminance of the second calibrated star; The magnitude of the target is determined based on the mapping relationship and the grayscale value of the target.

2. The method according to claim 1, characterized in that, The formula for determining the illuminance of a star based on its magnitude is as follows: in, E Illuminance, m It is a star-level value.

3. The method according to claim 1, characterized in that, The determination of the sum of gray levels of the first calibrated star, the sum of gray levels of the second calibrated star, and the sum of gray levels of the detection target includes: The center point coordinates of the first calibrated star and the center point coordinates of the second calibrated star are determined based on the detection direction and the visible light star catalog file. The coordinates of the center point of the target are determined based on the detection direction and the target's orbit data; The extraction range is determined based on the size of the light spot of the star and the size of the light spot of the probe target in the space target image data, such that the extraction range is larger than the largest light spot of the star and the probe target. The first calibration region is determined with the center point coordinates of the first calibrated star as the center and the extraction range as the range; The second calibration region is determined with the center point coordinates of the second calibrated star as the center and the extraction range as the range; The third calibration area is determined with the center point coordinates of the detected target as the center and the extraction range as the range; The sum of gray values ​​of the first calibration star, the sum of gray values ​​of the second calibration star, and the sum of gray values ​​of the detection target are determined based on the average gray values ​​of the first calibration region, the second calibration region, and the third calibration region, respectively.

4. The method according to claim 3, characterized in that, The step of determining the sum of gray levels of the first calibration star, the sum of gray levels of the second calibration star, and the sum of gray levels of the detection target based on the average gray levels of the first calibration region, the second calibration region, and the third calibration region, respectively, includes: A first threshold is obtained by multiplying the average gray value of the first calibration region by a threshold coefficient. Gray values ​​in the first calibration region that are higher than the first threshold are added together to obtain the gray sum of the first calibration star. The second threshold is obtained by multiplying the average gray value of the second calibration region by the threshold coefficient. The gray values ​​in the second calibration region that are higher than the second threshold are added together to obtain the gray sum of the second calibration star. The third threshold is obtained by multiplying the average gray value of the third calibration region by the threshold coefficient. The gray values ​​of the third calibration region that are higher than the third threshold are added together to obtain the gray sum of the detected target.

5. The method according to claim 3, characterized in that, The average gray value is calculated using the following formula: in, MEAN i The average gray value, ( x i , y i (2) represents the coordinates of the center point. R i +1) 2 The number of pixels in the extraction range. A ( m , n ) is the extraction range, the first m line, number n The grayscale value of the pixels in the column.

6. The method according to claim 2, characterized in that, The step of establishing a mapping relationship between illuminance and grayscale based on the sum of grayscale and illuminance of the first calibrated star and the sum of grayscale and illuminance of the second calibrated star includes: Establish a linear fitting function between the illuminance and the grayscale: ; Substituting the grayscale and illuminance of the first and second calibrated stars into the linear fitting function yields... a and b The value of is used to obtain the mapping relationship between the illuminance and the grayscale; in, E Illuminance, sum For grayscale and...

7. The method according to claim 1, characterized in that, The step of determining the magnitude value of the target based on the mapping relationship and the grayscale of the target includes: The illuminance of the target is determined based on the mapping relationship and the grayscale of the target. The magnitude of the target is determined based on the illuminance of the target.

8. A device for quantitative processing of visible light image data of space targets, characterized in that, include: An acquisition unit is used to acquire space target image data consisting of multiple grayscale values ​​along the detection direction; wherein, the space target image data includes the detection target and multiple stars; A matching unit is used to determine the magnitude of the star based on the detection direction and the visible light star catalog file; The selection unit is used to select a first calibration star and a second calibration star from a plurality of stars, determine the illuminance of the first calibration star based on its magnitude value, and determine the illuminance of the second calibration star based on its magnitude value. A summation unit is used to determine the sum of the gray levels of the first calibrated star, the sum of the gray levels of the second calibrated star, and the sum of the gray levels of the detection target; A unit is established to establish a mapping relationship between illuminance and grayscale based on the sum of grayscale and illuminance of the first calibrated star and the sum of grayscale and illuminance of the second calibrated star. A calculation unit is used to determine the magnitude value of the target based on the mapping relationship and the grayscale value of the target.

9. A computing device comprising a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program, implements the method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the method of any one of claims 1-7.

Images