Method and device for calculating radiation intensity of space weak and small target based on infrared image

Abstract

The invention provides a method and a device for calculating the radiation intensity of a space weak and small target based on an infrared image. The method comprises the steps of determining a center position and a pixel space distribution range of a target based on an infrared image of the target; determining an initial radiation area of the target; expanding the initial radiation area of the target, and expanding the expanded first expansion area again to obtain a second expansion area; respectively calculating first target radiation intensity and second target radiation intensity according to a first background radiation template and a second background radiation template generated by the initial radiation area, the first expansion area and the second expansion area of the target; whether the difference value between the first target radiation intensity and the second target radiation intensity is larger than a preset threshold value or not is judged, and if yes, the first expansion area serves as an initial radiation area, and the second expansion area serves as a first expansion area to continue iteration; and if not, outputting the average value of the two as a result. Accurate calculation of the radiation intensity of the space weak and small target can be realized.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of infrared signal technology, and in particular to a method and device for calculating the radiation intensity of a small target in space based on an infrared image. Background Art

[0002] As the main technical means to obtain infrared radiation characteristic data of space targets, infrared radiation measurement of space targets can provide important infrared radiation characteristic information for the detection and identification of space targets, especially small targets such as space debris and cosmic objects. However, due to the long observation distance of small space targets, the energy of target radiation is attenuated before it reaches the device aperture after being transmitted through the atmosphere, so that after the small space targets are imaged by the optical system, a diffraction bright spot with unclear edges is formed on the focal plane of the detector, making it difficult to define the edge of the target.

[0003] At present, conventional edge detection algorithms are often used to extract the target edge for the calculation of the radiation intensity of small space targets, and the radiation area and radiation intensity of small space infrared targets are inverted by combining radiation calibration parameters and equipment auxiliary information. However, due to the unclear infrared imaging boundary of small space targets, the edge extraction error is large, the background radiation area cannot be correctly estimated, and the background radiation coupled in the target radiation cannot be accurately deducted, which directly affects the calculation accuracy of the infrared radiation intensity of small space targets.

[0004] Therefore, there is an urgent need for a method and device for calculating the radiation intensity of a small target in space based on infrared images. Summary of the invention

[0005] In order to solve the problem of low calculation accuracy of the existing method for calculating the radiation intensity of small and weak targets in space, an embodiment of the present invention provides a method and device for calculating the radiation intensity of small and weak targets in space based on infrared images.

[0006] In a first aspect, an embodiment of the present invention provides a method for calculating the radiation intensity of a small target in space based on an infrared image, comprising:

[0007] Step S1: based on the acquired infrared image of the spatially small target, determine the center position and pixel spatial distribution range of the spatially small target;

[0008] Step S2: According to the center position of the spatial small target and the pixel space distribution range, the initial radiation area of ​​the spatial small target is determined by using the threshold segmentation method;

[0009] Step S3: expanding the initial radiation area of ​​the spatial weak target to obtain a first expansion area;

[0010] Step S4: dilating the first expansion area again to obtain a second expansion area;

[0011] Step S5: generating a first background radiation template and a second background radiation template based on the first extended area, the second extended area and the initial radiation area respectively;

[0012] Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the spatial weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template of the spatial weak target respectively;

[0013] Step S7: determine whether the difference between the first target radiation intensity and the second target radiation intensity is greater than a preset threshold; if so, use the current first extension area as the initial radiation area, the second extension area as the first extension area, and return to step S4;

[0014] Step S8: If not, the average value of the first target radiation intensity and the second target radiation intensity is output as the radiation intensity of the spatial weak target.

[0015] In a second aspect, an embodiment of the present invention further provides a device for calculating the radiation intensity of a small target in space based on an infrared image, comprising:

[0016] A first determination unit is used to determine the center position and pixel space distribution range of the spatially weak and small target based on the acquired infrared image of the spatially weak and small target;

[0017] The second determination unit is used to determine the initial radiation area of ​​the spatial weak target by using a threshold segmentation method according to the central position of the spatial weak target and the pixel space distribution range;

[0018] A first expansion unit is used to expand the initial radiation area of ​​the spatial weak target to obtain a first expansion area;

[0019] A second expansion unit, used for expanding the first expansion area again to obtain a second expansion area;

[0020] A generating unit, configured to generate a first background radiation template and a second background radiation template respectively based on the first extended area, the second extended area and the initial radiation area;

[0021] A calculation unit, used to calculate a first target radiation intensity and a second target radiation intensity of the space weak target according to an initial radiation area, a first extended area, a first background radiation template and a second background radiation template of the space weak target;

[0022] The jump execution unit is used to determine whether the difference between the radiation intensity of the first target and the radiation intensity of the second target is greater than a preset threshold. If so, the first expansion area is used as the initial radiation area, and the second expansion area is used as the first expansion area to return and perform expansion processing; if not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is output as the radiation intensity of the spatial weak target.

[0023] In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0024] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the method described in any embodiment of this specification.

[0025] In a fifth aspect, an embodiment of the present invention further provides a computer program product, including a computer program, which implements the method described in any of the above embodiments when executed by a processor.

[0026] The embodiment of the present invention provides a method and device for calculating the radiation intensity of a small spatial target based on an infrared image. Starting from the position and geometric size information of the small spatial target, a threshold segmentation method and an expansion processing technology are used to select a radiation area and an expansion area respectively and generate a radiation template. By setting a radiation intensity threshold, an iterative method is adopted to use the radiation area of ​​the initially determined small spatial target as the initial area, gradually expand the radiation area, and update the radiation template at the same time, and finally calculate the radiation intensity of the small spatial target. In this way, the target radiation intensity calculation error caused by inaccurate target edge extraction and background radiation estimation error is avoided, and the accurate calculation of the radiation intensity of the small spatial target is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a flow chart of a method for calculating the radiation intensity of a small target in space based on an infrared image provided by an embodiment of the present invention;

[0029] Figure 2 is a hardware architecture diagram of an electronic device provided by an embodiment of the present invention;

[0030] Figure 3 The present invention is a structural diagram of a device for calculating the radiation intensity of a small target in space based on an infrared image, provided in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] The specific implementation of the above concept is described below.

[0033] Please refer to Figure 1 The embodiment of the present invention provides a method for calculating the radiation intensity of a small target in space based on an infrared image, the method comprising:

[0034] Described below Figure 1 How the various steps are performed.

[0035] Step S1: based on the acquired infrared image of the spatially small target, determine the center position and pixel spatial distribution range of the spatially small target;

[0036] Step S2: According to the center position of the spatial small target and the pixel space distribution range, the initial radiation area of ​​the spatial small target is determined by using the threshold segmentation method;

[0037] Step S3: expanding the initial radiation area of ​​the spatial weak target to obtain a first expansion area;

[0038] Step S4: dilating the first expansion area again to obtain a second expansion area;

[0039] Step S5: generating a first background radiation template and a second background radiation template based on the first extended area, the second extended area and the initial radiation area respectively;

[0040] Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the spatial weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template of the spatial weak target respectively;

[0041] Step S7: determine whether the difference between the first target radiation intensity and the second target radiation intensity is greater than a preset threshold; if so, use the current first extension area as the initial radiation area, the second extension area as the first extension area, and return to step S4;

[0042] Step S8: If not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is output as the radiation intensity of the spatial weak target.

[0043] In an embodiment of the present invention, starting from the position and geometric size information of a small spatial target, a threshold segmentation method and an expansion processing technique are used to select a radiation area and an expansion area respectively and generate a background radiation template. By setting a target radiation intensity threshold, an iterative method is adopted to use the radiation area of ​​a small spatial target preliminarily determined as the initial area, gradually expand the radiation area, and update the background radiation template at the same time, and finally calculate the radiation intensity of the small spatial target. In this way, the target radiation intensity calculation error caused by inaccurate target edge extraction and background radiation estimation error is avoided, and the accurate calculation of the radiation intensity of the small spatial target is achieved.

[0044] For step S1:

[0045] In some embodiments, step S1 includes: determining whether the size of the spatially weak target is known; if so, calculating the spatial distribution range of the spatially weak target on the infrared image plane based on the geometric imaging relationship; if not, estimating the pixel spatial distribution range of the spatially weak target based on the infrared image.

[0046] In an embodiment of the present invention, the center position of the spatial weak and small target is determined by observing the infrared image output by the spatial weak and small target detection algorithm. At the same time, for the spatial weak and small target whose actual geometric size is known, the number of pixels occupied by the spatial weak and small target on the infrared image under ideal imaging conditions can be calculated by utilizing the geometric imaging relationship and combining the field of view angle, focal length and pixel size information of the measuring equipment. Otherwise, the number of pixels occupied by the spatial weak and small target on the infrared image can be estimated by observing the acquired infrared image, thereby obtaining the pixel spatial distribution range of the spatial weak and small target.

[0047] For step S2:

[0048] In an embodiment of the present invention, the initial radiation area of ​​the spatial weak target is preliminarily selected based on step S2. Specifically, the initial area can be selected using a rectangular target frame based on the central position of the spatial weak target and the pixel space distribution range, while ensuring that the rectangular target frame can completely select the radiation distribution area of ​​the target. Then, a threshold automatic segmentation algorithm (such as the Otsu threshold segmentation algorithm or an adaptive threshold segmentation algorithm, etc.) is used to perform threshold segmentation on the selected area of ​​the rectangular target frame. This is conducive to quickly and accurately determining the initial radiation area TargetArea of ​​the spatial weak target.

[0049] For steps S3 to S5:

[0050] In some embodiments, the first extended area and the second extended area are both composed of a radiation area and a background area surrounding the radiation area.

[0051] In some embodiments, the size of the first background radiation template is the same as the size of the initial radiation area, and the grayscale value is the grayscale mean of the background area in the first extended area; the size of the second background radiation template is the same as the size of the radiation area of ​​the first extended area, and the grayscale value is the grayscale mean of the background area in the second extended area.

[0052] In an embodiment of the present invention, a structural element of a certain shape is selected to perform expansion processing on the determined initial radiation area, so as to obtain an extended area. Compared with the initial radiation area, the expanded area further includes a background area around the initial radiation area, and the grayscale mean of the background area is counted. In this way, a background radiation template with the same size as the initial radiation template before the expansion processing and grayscale values ​​that are the grayscale mean of the background area after the expansion processing can be generated based on the expanded area formed after the expansion processing. The background radiation template is used to deduct the coupled background radiation in the initial radiation area, which is conducive to the accurate calculation of the target radiation intensity.

[0053] It should be noted that, in the embodiment of the present invention, the structure and radius of the structural element of the expansion processing can be selected according to the specific situation of the small target in space. In this embodiment, the structural element adopts a circular structure, and the radius of the structural element is set to 3 pixels.

[0054] For steps S6 to S8:

[0055] In some embodiments, step S6 comprises:

[0056] Performing differential operations on the initial radiation area and the first background radiation template, and on the first extended area and the second background radiation template, respectively, to obtain a first radiation area and a second radiation area;

[0057] A first target radiation intensity and a second target radiation intensity of a small spatial target are calculated according to the first radiation area, the second radiation area and calibration parameters of a measuring device.

[0058] In some embodiments, the first target radiation intensity and the second target radiation intensity are both calculated by the following formula:

[0059]

[0060] Where TargetIntensity is the first target radiation intensity or the second target radiation intensity, k is the calibration slope of the measuring device, PixelSpationResolution is the single pixel spatial resolution in the infrared image, and DNi is the i-th pixel in the initial radiation area or the first extended area, BackgroundDN is the grayscale value of the first background radiation template or the second background radiation template, and TargetArea is the initial radiation area or the first extended area.

[0061] In an embodiment of the present invention, in order to avoid directly extracting the edge of the radiation area of ​​a spatial weak target, a preset threshold is set and an iterative method is adopted. First, the initial radiation area of ​​the spatial weak target determined in step S2 is used as the initial value, and the radiation area of ​​the target is gradually expanded. Then, the background radiation template is updated based on the expanded area obtained after the expansion, and then the updated background radiation template is used to perform a differential operation on the initial radiation area pixel by pixel, and the grayscale of all pixels after the difference is summed, and the radiation intensity of the target is obtained by combining the equipment calibration data. The radiation intensity result difference ΔTargetIntensity calculated twice before and after the iteration is further calculated, and it is compared with the preset threshold. If it is greater than the preset threshold, the second expanded area is used as the initial radiation area to jump to the step of calculating the radiation intensity result difference to continue the iteration. Otherwise, the average value of the first and second calculation results is output as the calculation result of the target radiation intensity.

[0062] In this way, in the embodiment of the present invention, the radiation area of ​​the weak target in space is gradually expanded in an iterative manner, and the radiation intensity of the radiation area is calculated using an updated radiation template to determine the radiation intensity of the target, and the background radiation area is accurately estimated from the image, thereby improving the accuracy of the calculation results of the radiation intensity of the weak target in space, and solving the problem of inaccurate calculation of the target radiation intensity due to inaccurate edge extraction results of the weak target and background radiation calculation errors in the deep space background.

[0063] In the embodiment of the present invention, the difference between the radiation intensity results calculated twice before and after the iteration, that is, the difference ΔTargetIntensity between the first target radiation intensity and the second target radiation intensity, is calculated by the following formula:

[0064] ΔTargetIntensity=|TargetIntensity i -TargetIntensity i-1 |

[0065] Among them, TargetIntensity i-1 and TargetIntensity i The radiation intensities calculated for the i-1th and ith iterations (i.e., the first target radiation intensity and the second target radiation intensity) are respectively, and IntensityThreshold is a preset threshold value, which is set to p times TargetIntensity in the embodiment of the present invention.i , p is set to 1 / 20.

[0066] like Figure 2 , Figure 3 As shown, an embodiment of the present invention provides a device for calculating the radiation intensity of a small target in space based on an infrared image. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, Figure 2 As shown, it is a hardware architecture diagram of an electronic device in which a radiation intensity calculation device for a small and weak target in space based on an infrared image is provided in an embodiment of the present invention. Figure 3 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 3 As shown, as a device in a logical sense, the CPU of the electronic device in which it is located reads the corresponding computer program in the non-volatile memory into the internal memory and runs it.

[0067] like Figure 3 As shown, this embodiment provides a radiation intensity calculation device for a small target in space based on an infrared image, comprising:

[0068] The first determining unit 301 is used to determine the center position and pixel space distribution range of the spatially weak and small target based on the acquired infrared image of the spatially weak and small target;

[0069] The second determination unit 302 is used to determine the initial radiation area of ​​the spatial weak and small target by using a threshold segmentation method according to the central position of the spatial weak and small target and the pixel spatial distribution range;

[0070] A first expansion unit 303 is used to expand the initial radiation area of ​​the spatial weak target to obtain a first expansion area;

[0071] A second expansion unit 304 is used to expand the first expansion area again to obtain a second expansion area;

[0072] A generating unit 305, configured to generate a first background radiation template and a second background radiation template respectively based on the first extended area, the second extended area and the initial radiation area;

[0073] A calculation unit 306 is used to calculate a first target radiation intensity and a second target radiation intensity of the spatial weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template of the spatial weak target;

[0074] The jump execution unit 307 is used to determine whether the difference between the radiation intensity of the first target and the radiation intensity of the second target is greater than a preset threshold. If so, the first expansion area is used as the initial radiation area, and the second expansion area is used as the first expansion area to return and perform expansion processing; if not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is output as the radiation intensity of the spatial weak target.

[0075] In one embodiment of the present invention, when determining the pixel spatial distribution range of the spatially weak and small target based on the acquired infrared image of the spatially weak and small target, the first determining unit 301 is configured to perform the following operations:

[0076] Determine whether the size of the spatially weak and small target is known; if so, calculate the spatial distribution range of the spatially weak and small target on the infrared image plane according to the geometric imaging relationship; if not, estimate the pixel spatial distribution range of the spatially weak and small target according to the infrared image.

[0077] In one embodiment of the present invention, in the first expansion unit 303 and the second expansion unit 304, the first expansion area and the second expansion area are both composed of a radiation area and a background area around the radiation area.

[0078] In one embodiment of the present invention, in the generation unit 305, the size of the first background radiation template is the same as the size of the initial radiation area, and the grayscale value is the grayscale mean of the background area in the first extended area; the size of the second background radiation template is the same as the size of the radiation area of ​​the first extended area, and the grayscale value is the grayscale mean of the background area in the second extended area.

[0079] In one embodiment of the present invention, the calculation unit 306 is used to perform the following operations when respectively calculating the first target radiation intensity and the second target radiation intensity of the spatial weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template of the spatial weak target:

[0080] Performing differential operations on the initial radiation area and the first background radiation template, and on the first extended area and the second background radiation template, respectively, to obtain a first radiation area and a second radiation area;

[0081] A first target radiation intensity and a second target radiation intensity of a small spatial target are calculated according to the first radiation area, the second radiation area and calibration parameters of a measuring device.

[0082] In one embodiment of the present invention, in the calculation unit 306, the first target radiation intensity and the second target radiation intensity are both calculated by the following formula:

[0083]

[0084] Where TargetIntensity is the first target radiation intensity or the second target radiation intensity, k is the calibration slope of the measuring device, PixelSpationResolution is the single pixel spatial resolution in the infrared image, and DN i is the i-th pixel in the initial radiation area or the first extended area, BackgroundDN is the grayscale value of the first background radiation template or the second background radiation template, and TargetArea is the initial radiation area or the first extended area.

[0085] It is to be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a radiation intensity calculation device for a small and weak target in space based on infrared images. In other embodiments of the present invention, a radiation intensity calculation device for a small and weak target in space based on infrared images may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0086] The information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For the specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0087] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a method for calculating the radiation intensity of a small spatial target based on an infrared image in any embodiment of the present invention is implemented.

[0088] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes a method for calculating the radiation intensity of a small spatial target based on an infrared image in any embodiment of the present invention.

[0089] Specifically, a system or device equipped with a storage medium can be provided, on which software program code that implements the functions of any of the above-mentioned embodiments is stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program code stored in the storage medium.

[0090] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0091] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0092] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0093] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0094] It should be noted that, in this article, relational terms such as first and second are only used to distinguish 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", "comprise" 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 includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical factors in the process, method, article or device including the elements.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating the radiation intensity of a small target in space based on infrared images, characterized in that: include: Step S1: based on the acquired infrared image of the spatially small target, determine the center position and pixel spatial distribution range of the spatially small target; Step S2: According to the center position of the spatial small target and the pixel space distribution range, the initial radiation area of ​​the spatial small target is determined by using the threshold segmentation method; Step S3: expanding the initial radiation area of ​​the spatial weak target to obtain a first expansion area; Step S4: dilating the first expansion area again to obtain a second expansion area; Step S5: generating a first background radiation template and a second background radiation template based on the first extended area, the second extended area and the initial radiation area respectively; Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the spatial weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template of the spatial weak target respectively; Step S7: determine whether the difference between the first target radiation intensity and the second target radiation intensity is greater than a preset threshold; if so, use the current first extension area as the initial radiation area, the second extension area as the first extension area, and return to step S4; Step S8: If not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is output as the radiation intensity of the spatial weak target.

2. The method according to claim 1, characterized in that The step of determining the pixel spatial distribution range of the spatially weak and small target based on the acquired infrared image of the spatially weak and small target comprises: Determine whether the size of the spatially weak and small target is known; if so, calculate the spatial distribution range of the spatially weak and small target on the infrared image plane according to the geometric imaging relationship; if not, estimate the pixel spatial distribution range of the spatially weak and small target according to the infrared image.

3. The method according to claim 1, characterized in that The first extended area and the second extended area are both composed of a radiation area and a background area around the radiation area.

4. The method according to claim 3, characterized in that The size of the first background radiation template is the same as that of the initial radiation area, and the grayscale value is the grayscale mean of the background area in the first extended area. The size of the second background radiation template is the same as that of the radiation area of ​​the first extended area, and the grayscale value is the grayscale mean of the background area in the second extended area.

5. The method according to claim 1, characterized in that The step of respectively calculating the first target radiation intensity and the second target radiation intensity of the space weak target according to the initial radiation area, the first extended area, the first background radiation template and the second background radiation template comprises: Performing differential operations on the initial radiation area and the first background radiation template, and on the first extended area and the second background radiation template, respectively, to obtain a first radiation area and a second radiation area; A first target radiation intensity and a second target radiation intensity of a small spatial target are calculated according to the first radiation area, the second radiation area and calibration parameters of a measuring device.

6. The method according to claim 5, characterized in that The first target radiation intensity and the second target radiation intensity are both calculated by the following formula: Where TargetIntensity is the first target radiation intensity or the second target radiation intensity, k is the calibration slope of the measuring device, PixelSpationResolution is the single pixel spatial resolution in the infrared image, and DN i is the i-th pixel in the initial radiation area or the first extended area, BackgroundDN is the grayscale value of the first background radiation template or the second background radiation template, and TargetArea is the initial radiation area or the first extended area.

7. A device for calculating the radiation intensity of a small target in space based on infrared images, characterized in that: include: A first determination unit is used to determine the center position and pixel space distribution range of the spatially weak and small target based on the acquired infrared image of the spatially weak and small target; The second determination unit is used to determine the initial radiation area of ​​the spatial weak target by using a threshold segmentation method according to the central position of the spatial weak target and the pixel space distribution range; A first expansion unit is used to expand the initial radiation area of ​​the spatial weak target to obtain a first expansion area; a second expansion unit, configured to perform expansion processing on the first expansion area again to obtain a second expansion area; A generating unit, configured to generate a first background radiation template and a second background radiation template respectively based on the first extended area, the second extended area and the initial radiation area; A calculation unit, used to calculate a first target radiation intensity and a second target radiation intensity of the space weak target according to an initial radiation area, a first extended area, a first background radiation template and a second background radiation template of the space weak target; The jump execution unit is used to determine whether the difference between the radiation intensity of the first target and the radiation intensity of the second target is greater than a preset threshold, and then the current first expansion area is used as the initial radiation area, the second expansion area is used as the first expansion area and returns to perform expansion processing; if not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is output as the radiation intensity of the spatial weak target.

8. An electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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