Radiation intensity calculation method and device for spatial small target based on infrared image

Abstract

The application provides a radiation intensity calculation method and device for a space small target based on an infrared image. The method comprises the following steps: determining the center position and pixel space distribution range of the target based on the infrared image of the target; determining the initial radiation region of the target; performing expansion on the initial radiation region of the target, and performing expansion again on the first expansion region after expansion to obtain a second expansion region; generating a first background radiation template and a second background radiation template according to the initial radiation region of the target, the first expansion region and the second expansion region, and calculating a first target radiation intensity and a second target radiation intensity respectively; judging whether the difference between the first target radiation intensity and the second target radiation intensity is greater than a preset threshold value, if yes, taking the first expansion region as the initial radiation region and the second expansion region as the first expansion region to continue iteration, and if not, taking the average value of the two as the result output. The application can realize accurate calculation of the radiation intensity of a space small target.

Description

Technical Field

[0001] This invention relates to the field of infrared signal technology, and in particular to a method and apparatus for calculating the radiation intensity of a small spatial target based on infrared images. Background Technology

[0002] Infrared radiation measurement of space targets is a primary technical means of acquiring infrared radiation characteristic data of space targets, providing important infrared radiation feature information for the detection and identification of space targets, especially small targets such as space debris and celestial bodies. However, due to the long observation distance of small space targets, the energy of the target radiation is attenuated before reaching the equipment aperture after being transmitted through the atmosphere. This results in a bright diffraction spot with unclear edges on the detector's focal plane after the target is imaged by the optical system, making it difficult to define the target's edge.

[0003] Currently, the calculation of the radiation intensity of small space targets often employs conventional edge detection algorithms to extract the target edges, combined with radiation calibration parameters and equipment-aided information, to invert the radiation area and intensity of the small infrared target in space. However, due to the unclear infrared imaging boundaries of small space targets, edge extraction errors are large, the background radiation area cannot be correctly estimated, and the coupled background radiation in the target radiation cannot be accurately deducted, thus directly affecting 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 small spatial targets based on infrared images. Summary of the Invention

[0005] To address the issue of low accuracy in calculating the radiation intensity of small spatial targets using existing methods, this invention provides a method and apparatus for calculating the radiation intensity of small spatial targets based on infrared images.

[0006] In a first aspect, embodiments of the present invention provide a method for calculating the radiation intensity of a spatially weak target based on infrared images, including:

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

[0008] Step S2: Based on the center position and pixel spatial distribution range of the spatially weak target, the initial radiation area of ​​the spatially weak target is determined using the threshold segmentation method;

[0009] Step S3: Expand the initial radiation region of the weak target in space to obtain the first expanded region;

[0010] Step S4: The first expanded region is expanded again to obtain the second expanded region;

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

[0012] Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the weak space target based on the initial radiation area, the first extended area, the first background radiation template, and the second background radiation template.

[0013] Step S7: 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, take the current first extended area as the initial radiation area, take the second extended area as the first extended area, and return to execute step S4.

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

[0015] Secondly, embodiments of the present invention also provide a device for calculating the radiation intensity of a spatially weak target based on infrared images, comprising:

[0016] The first determining unit is used to determine the center position and pixel spatial distribution range of the spatially weak target based on the acquired infrared image of the spatially weak target.

[0017] The second determining unit is used to determine the initial radiation area of ​​the spatially weak target based on the center position and pixel spatial distribution range of the target using a threshold segmentation method.

[0018] The first expansion unit is used to expand the initial radiation region of the weak spatial target to obtain the first extended region.

[0019] The second expansion unit is used to expand the first expanded region again to obtain the second expanded region;

[0020] The generation unit is configured to generate a first background radiation template and a second background radiation template based on the first extended region, the second extended region, and the initial radiation region, respectively.

[0021] The calculation unit is used to calculate the first target radiation intensity and the second target radiation intensity of the space weak target based on the initial radiation region, the first extended region, the first background radiation template and the second background radiation template.

[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 extended region is used as the initial radiation region and the second extended region is used as the first extended region to return to the execution of the expansion process. If not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is used as the radiation intensity of the weak target in space.

[0023] Thirdly, embodiments of the present invention also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the method described in any embodiment of this specification.

[0024] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the methods described in any embodiment of this specification.

[0025] Fifthly, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the above embodiments.

[0026] This invention provides a method and apparatus for calculating the radiation intensity of small spatial targets based on infrared images. Starting from the location and geometric dimensions of the small spatial target, the method uses threshold segmentation and dilation processing techniques to select a radiation region and an expansion region and generate a radiation template. By setting a radiation intensity threshold, the method iteratively expands the radiation region of the initially determined small spatial target as the initial region while updating the radiation template, and finally calculates the radiation intensity of the small spatial target. This avoids the calculation error of the target radiation intensity caused by inaccurate target edge extraction and background radiation estimation errors, and achieves accurate calculation of the radiation intensity of small spatial targets. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart of a method for calculating the radiation intensity of a small spatial target based on infrared images, provided by an embodiment of the present invention.

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

[0030] Figure 3 This is a structural diagram of a device for calculating the radiation intensity of a small spatial target based on infrared images, provided in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0032] The following describes the specific implementation of the above concept.

[0033] Please refer to Figure 1 This invention provides a method for calculating the radiation intensity of a spatially weak target based on infrared images. The method includes:

[0034] The following description Figure 1 The execution method for each step is shown.

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

[0036] Step S2: Based on the center position and pixel spatial distribution range of the spatially weak target, the initial radiation area of ​​the spatially weak target is determined using the threshold segmentation method;

[0037] Step S3: Expand the initial radiation region of the weak target in space to obtain the first expanded region;

[0038] Step S4: The first expanded region is expanded again to obtain the second expanded region;

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

[0040] Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the weak space target based on the initial radiation area, the first extended area, the first background radiation template, and the second background radiation template.

[0041] Step S7: 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, take the current first extended area as the initial radiation area, take the second extended area as the first extended area, and return to execute step S4.

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

[0043] In this embodiment of the invention, starting from the location and geometric dimensions of a small spatial target, a threshold segmentation method and an expansion processing technique are used to select a radiation region and an expansion region and generate a background radiation template. By setting a target radiation intensity threshold, an iterative approach is adopted, using the initially determined radiation region of the small spatial target as the initial region, gradually expanding the radiation region while updating the background radiation template. Finally, the radiation intensity of the small spatial target is calculated. In this way, the calculation error of the target radiation intensity 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] Regarding 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 geometric imaging relationships; if not, estimating the pixel spatial distribution range of the spatially weak target based on the infrared image.

[0046] In this embodiment of the invention, the center position of the spatial weak target is determined by observing the infrared image output by the spatial weak target detection algorithm. For spatial weak targets with known actual geometric dimensions, the number of pixels occupied by the spatial weak target in the infrared image under ideal imaging conditions can be calculated by using geometric imaging relationships and combining the field of view, focal length and pixel size information of the measuring device. Otherwise, the number of pixels occupied by the spatial weak target in the infrared image is estimated by observing the acquired infrared image, thereby obtaining the pixel spatial distribution range of the spatial weak target.

[0047] Regarding step S2:

[0048] In this embodiment of the invention, the initial radiation area of ​​the spatially weak target is initially selected based on step S2. Specifically, a rectangular target box is first used to select the initial area based on the center position and pixel spatial distribution range of the spatially weak target, while ensuring that the rectangular target box can completely select the radiation distribution area of ​​the target. Then, an automatic threshold segmentation algorithm (such as Otsu threshold segmentation algorithm or adaptive threshold segmentation algorithm) is used to perform threshold segmentation on the selected area of ​​the rectangular target box. This is beneficial for quickly and accurately determining the initial radiation area TargetArea of ​​the spatially weak target.

[0049] For steps S3 to S5:

[0050] In some implementations, both the first extended region and the second extended region are composed of a radiating region and a background region surrounding the radiating region.

[0051] In some embodiments, the size of the first background radiation template is the same as the size of the initial radiation region, and the grayscale value is the average grayscale value of the background region in the first extended region. The size of the second background radiation template is the same as the size of the radiation region in the first extended region, and the grayscale value is the average grayscale value of the background region in the second extended region.

[0052] In this embodiment of the invention, an expanded region is obtained by using structural elements of a certain shape to expand the determined initial radiation region. Compared with the initial radiation region, the expanded region further includes the background region around the initial radiation region, and the gray-scale mean of the background region is calculated. Thus, based on the expanded region formed after the expansion process, a background radiation template with the same size as the initial radiation template before the expansion process and whose gray-scale value is the gray-scale mean of the background region after the expansion process can be generated. This background radiation template is used to deduct the coupled background radiation in the initial radiation region, which is beneficial to the accurate calculation of the target radiation intensity.

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

[0054] For steps S6 to S8:

[0055] In some implementations, step S6 includes:

[0056] The first radiation region and the second radiation region are obtained by performing difference operations on the initial radiation region and the first background radiation template, and on the first extended region and the second background radiation template, respectively.

[0057] Based on the first radiation region, the second radiation region, and the calibration parameters of the measuring equipment, calculate the first target radiation intensity and the second target radiation intensity of the spatially weak target.

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

[0059]

[0060] In the formula, TargetIntensity is the radiation intensity of the first target or the radiation intensity of the second target, k is the calibration slope of the measuring device, PixelSpationResolution is the spatial resolution of a single pixel in the infrared image, and DNi TargetArea 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 this embodiment of the invention, to avoid directly extracting the edge of the radiation region of a weak spatial target, a preset threshold is set and an iterative approach is adopted. First, the initial radiation region of the weak spatial target determined in step S2 is used as the initial value, and the radiation region of the target is gradually expanded. Then, the background radiation template is updated based on the expanded region. The updated background radiation template is then used to perform a pixel-by-pixel difference operation on the initial radiation region, and the grayscale of all the differenced pixels is summed. Combined with the device calibration data, the radiation intensity of the target is obtained. The difference between the radiation intensity results calculated before and after the iteration, ΔTargetIntensity, is further calculated and compared with the preset threshold. If it is greater than the preset threshold, the second expanded region is used as the initial radiation region, and the expansion process is skipped to the step of calculating the difference in radiation intensity results 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] Thus, in this embodiment of the invention, the radiation region of a small target in space is gradually expanded through iteration, and the radiation intensity of the radiation region is calculated using an updated radiation template to determine the radiation intensity of the target. The background radiation region is also accurately estimated from the image, thereby improving the accuracy of the radiation intensity calculation results for small targets in space. This solves the problem of inaccurate target radiation intensity calculation caused by inaccurate edge extraction results of small targets and background radiation calculation errors in deep space background.

[0063] In this embodiment of the invention, the difference between the radiation intensity results calculated before and after the iteration, i.e., the difference between the radiation intensity of the first target and the radiation intensity of the second target, ΔTargetIntensity, is calculated using the following formula:

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

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

[0066] like Figure 2 , Figure 3 As shown, this embodiment of the invention provides a device for calculating the radiation intensity of spatially weak targets based on infrared images. The device embodiment can be implemented through software, hardware, or a combination of both. From a hardware perspective, such as... Figure 2 The diagram shown is a hardware architecture diagram of an electronic device for calculating the radiation intensity of a spatially weak target based on infrared images, provided in an embodiment of the present invention. (Except for...) 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 packets. Taking software implementation as an example, such as... Figure 3 As shown, a device in a logical sense is formed by the CPU of the electronic device in which it is located reading the corresponding computer program from the non-volatile memory into the memory for execution.

[0067] like Figure 3 As shown, this embodiment provides a device for calculating the radiation intensity of a spatially weak target based on infrared images, comprising:

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

[0069] The second determining unit 302 is used to determine the initial radiation area of ​​the spatially weak target based on the center position and pixel spatial distribution range of the target using a threshold segmentation method.

[0070] The first expansion unit 303 is used to expand the initial radiation region of the weak spatial target to obtain the first extended region.

[0071] The second expansion unit 304 is used to expand the first expanded region again to obtain a second expanded region;

[0072] The generation unit 305 is used to generate a first background radiation template and a second background radiation template based on the first extended region, the second extended region and the initial radiation region, respectively.

[0073] The calculation unit 306 is used to calculate the first target radiation intensity and the second target radiation intensity of the space weak target based on the initial radiation area, the first extended area, the first background radiation template and the second background radiation template.

[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 extended region is used as the initial radiation region and the second extended region is used as the first extended region to return to the execution of the expansion process. If not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is used as the radiation intensity of the weak target in space.

[0075] In one embodiment of the present invention, when the first determining unit 301 determines the pixel spatial distribution range of a spatially weak target based on the acquired infrared image of the spatially weak target, it performs the following operation:

[0076] Determine whether the size of the spatially weak target is known; if so, calculate the spatial distribution range of the spatially weak target on the infrared image plane based on the geometric imaging relationship; if not, estimate the pixel spatial distribution range of the spatially weak target based on 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 region and the second expansion region are both composed of a radiation region and a background region surrounding the radiation region.

[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 region, and the gray value is the average gray value of the background region in the first extended region; the size of the second background radiation template is the same as the size of the radiation region in the first extended region, and the gray value is the average gray value of the background region in the second extended region.

[0079] In one embodiment of the present invention, when the calculation unit 306 calculates the first target radiation intensity and the second target radiation intensity of the space-weak target based on the initial radiation region, the first extended region, the first background radiation template, and the second background radiation template, it performs the following operations:

[0080] The first radiation region and the second radiation region are obtained by performing difference operations on the initial radiation region and the first background radiation template, and on the first extended region and the second background radiation template, respectively.

[0081] Based on the first radiation region, the second radiation region, and the calibration parameters of the measuring equipment, calculate the first target radiation intensity and the second target radiation intensity of the spatially weak target.

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

[0083]

[0084] In the formula, TargetIntensity is the radiation intensity of the first target or the radiation intensity of the second target, k is the calibration slope of the measuring device, PixelSpationResolution is the spatial resolution of a single pixel in the infrared image, and DN i TargetArea 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 understood that the structures illustrated in the embodiments of the present invention do not constitute a specific limitation on a radiation intensity calculation device for a spatially weak target based on infrared images. In other embodiments of the present invention, a radiation intensity calculation device for a spatially weak target based on infrared images may include more or fewer components than illustrated, or combine some components, split some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0086] The information interaction and execution process between the modules in the above-mentioned device are based on the same concept as the method embodiment of the present invention, and the specific details can be found in the description of the method embodiment of the present invention, and will not be repeated here.

[0087] This invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a method for calculating the radiation intensity of a spatially weak target based on an infrared image, according to any embodiment of this invention.

[0088] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program causes the processor to perform a method for calculating the radiation intensity of a spatially weak target based on an infrared image, according to any embodiment of this invention.

[0089] Specifically, a system or apparatus equipped with a storage medium may be provided, on which software program code implementing the functions of any of the embodiments described above is stored, and the computer (or CPU or MPU) of the system or apparatus may read and execute the program code stored in the storage medium.

[0090] In this case, the program code read from the storage medium can itself implement the function of any of the above embodiments, and therefore the program code and the storage medium storing the program code constitute part of the present invention.

[0091] Examples of storage media used to provide program code 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, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0092] Furthermore, it should be clear that not only can the program code read by the computer be executed, but also the operating system or other components operating on the computer can be instructed based on the program code to perform some or all of the actual operations, thereby realizing the function of any of the embodiments described above.

[0093] Furthermore, it is understood that the program code read from the storage medium is written to the memory set in the expansion board inserted into the computer or to the memory set in the expansion module connected to the computer. Then, based on the instructions of the program code, the CPU or other components installed on the expansion board or expansion module execute some and all of the actual operations, thereby realizing the function of any of the above embodiments.

[0094] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate 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 spatially weak target based on infrared images, characterized in that, include: Step S1: Based on the acquired infrared image of the spatially weak target, determine the center position and pixel spatial distribution range of the spatially weak target; Step S2: Based on the center position and pixel spatial distribution range of the spatially weak target, the initial radiation area of ​​the spatially weak target is determined using the threshold segmentation method; Step S3: Expand the initial radiation region of the weak target in space to obtain the first expanded region; Step S4: The first expanded region is expanded again to obtain the second expanded region; Step S5: Generate a first background radiation template and a second background radiation template based on the first extended region, the second extended region, and the initial radiation region, respectively; Step S6: Calculate the first target radiation intensity and the second target radiation intensity of the weak space target based on the initial radiation area, the first extended area, the first background radiation template, and the second background radiation template. The first radiation region and the second radiation region are obtained by performing difference operations on the initial radiation region and the first background radiation template, and on the first extended region and the second background radiation template, respectively. Based on the first radiation region, the second radiation region, and the calibration parameters of the measuring equipment, calculate the first target radiation intensity and the second target radiation intensity of the spatially weak target. The radiation intensity of the first target and the radiation intensity of the second target are both calculated using the following formula: In the formula, Let be the radiation intensity of the first target or the radiation intensity of the second target, k be the calibration slope of the measuring device, and PixelSpationResolution be the spatial resolution of a single pixel in the infrared image. The i-th pixel in the initial radiation region or the first extended region. The grayscale value is the first background radiation template or the second background radiation template, and TargetArea is the initial radiation area or the first extended area; Step S7: 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, take the current first extended area as the initial radiation area, take the second extended area as the first extended area, and return to execute step S4. Step S8: If not, the average of the radiation intensity of the first target and the radiation intensity of the second target is used as the radiation intensity output of the weak target in space.

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

3. The method according to claim 1, characterized in that, Both the first extended region and the second extended region consist of a radiating region and a background region surrounding the radiating region.

4. The method according to claim 3, characterized in that, 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 average grayscale value 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 in the first extended area, and the grayscale value is the average grayscale value of the background area in the second extended area.

5. A device for calculating the radiation intensity of a spatially weak target based on infrared images, characterized in that, include: The first determining unit is used to determine the center position and pixel spatial distribution range of the spatially weak target based on the acquired infrared image of the spatially weak target. The second determining unit is used to determine the initial radiation area of ​​the spatially weak target based on the center position and pixel spatial distribution range of the target using a threshold segmentation method. The first expansion unit is used to expand the initial radiation region of the weak spatial target to obtain the first extended region. The second expansion unit is used to further expand the first expanded region to obtain the second expanded region. The generation unit is configured to generate a first background radiation template and a second background radiation template based on the first extended region, the second extended region, and the initial radiation region, respectively. The calculation unit is used to calculate the first target radiation intensity and the second target radiation intensity of the space weak target based on the initial radiation region, the first extended region, the first background radiation template and the second background radiation template. 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 current first extended region is used as the initial radiation region, the second extended region is used as the first extended region, and the execution of the expansion process is returned. If not, the average value of the radiation intensity of the first target and the radiation intensity of the second target is used as the radiation intensity of the weak target in space.

6. An electronic 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 1-4.

7. 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 1-4.

8. A computer program product comprising a computer program that, when executed by a processor, implements the method as described in any one of claims 1-4.

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