An infrared imaging simulation method and system in a surface source interference scene and a storage medium

Abstract

The application discloses a method and system for simulating infrared imaging in a surface source interference scene and a storage medium, and belongs to the technical field of photoelectric simulation. The technical problems to be solved are that the infrared image scene generated by simulation is too single and the surface source simulation image details are poor. The technical solution points are that the azimuth and the elevation angle of a target and surface source interference relative to an observation device are calculated according to the coordinates of the target, the surface source interference and the observation device in a geodetic coordinate system; the coordinates of the surface source interference on an imaging surface under the current observation device instantaneous field of view condition are calculated; a near-distance surface source interference infrared image is simulated and generated, and the difference between the near distance and the real distance is less than a preset distance; and step S4: the near-distance surface source interference infrared image is down-sampled to generate an interference image at the real distance, and is fused with a target simulation image.

Description

Technical Field

[0001] This invention relates to the field of optoelectronic simulation technology, and in particular to an infrared imaging simulation method, system and storage medium for surface source interference scenarios. Background Technology

[0002] The acquisition of real infrared images is subject to multiple limitations, including environmental factors, equipment constraints, and security concerns, resulting in a severe shortage of high-quality, multi-scene, and multi-target-category infrared datasets, especially multi-scene images of infrared interference scenarios. Furthermore, the blurred target boundaries and lack of texture in infrared images make manual annotation difficult and costly, significantly limiting research into deep learning-based infrared target recognition algorithms. Therefore, researching infrared image simulation methods under interference conditions is particularly important.

[0003] Chinese patent document CN113378419A discloses an infrared imaging simulation method based on MODTRAN optimization, including the following steps: S1: Determine the type of zenith angle to be optimized based on five types: atmospheric path radiance, atmospheric transmittance, solar irradiance, terrestrial irradiance, and sky background irradiance. The optimization types include observation zenith angle and solar zenith angle; S2: Optimize the range of observation zenith angle optimization or solar zenith angle based on the optimized zenith angle type. Determine the specific zenith angle by querying the optimization method table; S3: Call the MODTRAN software to set the observation geometry conditions based on the optimized zenith angle, and then calculate the result using the target infrared irradiance formula received at the detector entrance pupil, and output the result.

[0004] Chinese patent document CN114898040A discloses a real-time infrared imaging simulation method and system based on hardware pipeline acceleration, including the following steps: Step 1, pre-calculate the data required in the infrared simulation process, including the temperature field of the simulation background and target, surface material parameters, solar radiation, environmental radiation, atmospheric transmittance and path radiation during the simulation period, and create a texture image; Step 2, use the real-time ray tracing hardware rendering pipeline to calculate the radiation distribution in the infrared simulation scene; Step 3, simulate the detector effect of the infrared imaging device; Step 4, generate the final infrared simulation image.

[0005] None of the above literature addresses infrared imaging simulation technology under interference conditions. This paper focuses on infrared imaging simulation technology under interference conditions.

[0006] The existing technology has at least the following unresolved technical problems or defects:

[0007] Most researchers focus on studying infrared imaging simulation methods under point source interference, while there is less research on modeling and simulating infrared images with surface source interference, resulting in overly simplistic simulated infrared image scenes. Furthermore, research on infrared surface source interference is concentrated on the combustion and motion characteristics of surface source interference, with less research on surface source imaging, resulting in poor detail in the simulated surface source images. Summary of the Invention

[0008] The purpose of this invention is to provide:

[0009] An infrared imaging simulation method for surface source interference scenarios, and related technologies, are proposed to address the following technical issues: limited research on modeling and simulation methods for surface source interference infrared images, resulting in overly simplistic simulated infrared image scenarios; and the fact that research on infrared surface source interference focuses primarily on the combustion and motion characteristics of surface source interference, with limited research on surface source imaging, leading to poor detail in surface source simulation images.

[0010] Terminology Explanation:

[0011] Unless otherwise defined, all technical terms in this document have the same meanings as commonly understood by one of ordinary skill in the art to which the subject matter of the claims pertains. Unless otherwise stated, all patents, patent inventions, and publications cited in this document are incorporated herein by reference in their entirety. If multiple definitions exist for terms in this document, the definitions in this chapter shall prevail.

[0012] It should be understood that the above brief description and the following detailed description are exemplary and for illustrative purposes only, and do not limit the subject matter of the invention in any way. In this invention, the singular is used in conjunction with the plural unless otherwise specifically stated. It should also be noted that, unless otherwise stated, the use of “or” or “or” means “and / or”. Furthermore, the use of the term “comprising” and other forms such as “including,” “containing,” and “contains” are not limiting.

[0013] Unless otherwise stated, conventional methods within the scope of the art shall be used.

[0014] The term "downsampling," also known as decimation, used in this article is a fundamental concept in multi-rate signal processing. It involves taking samples from a sequence of samples at intervals to generate new sequences. This technique is commonly used in the receiver of communication systems to reduce data throughput and improve signal processing efficiency by lowering excessively high sampling rates. However, its implementation requires filtering to prevent aliasing and must satisfy the sampling theorem to avoid signal component aliasing.

[0015] The term "Gaussian low-pass filter" used in this article refers to a low-pass filter designed based on a Gaussian function, whose amplitude-frequency response curve follows the distribution law of a Gaussian function. This filter has optimal characteristics in the time domain, exhibits no overshoot in response to step signals, and can effectively ensure high-fidelity transmission of time-domain signals. It is widely used in equipment fields such as oscilloscopes and radars where signal integrity requirements are stringent.

[0016] In a first aspect, the present invention provides: an infrared imaging simulation method for a surface source interference scenario, comprising the following steps:

[0017] Step S0: Establish the force analysis equations for the surface source interference in the air after its release, and calculate the location of the surface source interference in the geodetic coordinate system. The initial deployment location of the area source interference is set to the position of the target in the geodetic coordinate system at the time of release;

[0018] Step S1: Calculate the azimuth and elevation angles of the target and the area source interference relative to the observation equipment in the geodetic coordinate system based on the coordinates of the target, the area source interference, and the observation equipment.

[0019] Step S2: Calculate the coordinates of the surface source interference on the imaging plane under the instantaneous field of view of the current observation equipment;

[0020] Step S3: Simulate and generate a near-range area source interference infrared image, wherein the difference between the near-range and the actual distance is less than a preset distance;

[0021] Step S4: Downsample the near-range area source interference infrared image to generate an interference image at the real distance, and fuse it with the target simulation image.

[0022] In the technical solution provided in the first aspect of the present invention, the preferred solution includes:

[0023] The first preferred option: In step S1, the azimuth and elevation angles of the target relative to the observation equipment are calculated using the following formulas:

[0024]

[0025]

[0026] In the formula, and These are the target's azimuth and elevation angles, respectively, in units of: ;

[0027] The coordinates of the observation equipment in the geodetic coordinate system;

[0028] The coordinates of the target in the geodetic coordinate system;

[0029] Pi;

[0030] The azimuth and elevation angles of the surface source interference relative to the observation equipment are calculated using the same method:

[0031]

[0032]

[0033] In the formula, and These are the azimuth and elevation angles of the area source interference, respectively, in units of: ;

[0034] The coordinates of the observation equipment in the geodetic coordinate system;

[0035] The coordinates of the surface source interference in the geodetic coordinate system.

[0036] In the second preferred embodiment, step S2 involves calculating the coordinates of the surface source interference on the imaging plane under the current instantaneous field of view of the observation equipment, with the target at the center of the observation equipment's field of view as a reference.

[0037]

[0038]

[0039] In the formula, The image coordinates of the surface source interference on the observation equipment;

[0040] The image plane width of the detector;

[0041] This represents the image plane height of the detector;

[0042] These are the azimuth and elevation angles of the area source interference, respectively.

[0043] These are the target's azimuth and elevation angles, respectively.

[0044] ( , ) represents the coordinates of the detector's instantaneous field of view.

[0045] In the third preferred embodiment, in step S3, the surface source interference consists of several foil sheets that are sequentially deployed. During surface source interference simulation, the interference is considered as a cylinder with a height much smaller than its radius. "Much smaller" means the ratio of height to radius is less than a preset threshold, which is a value close to 0 between (0,1). This technical solution, while addressing the problem of "limited research on surface source interference resulting in overly simplistic simulated infrared image scenes," further solves the problem of "limited research on surface source imaging leading to poor detail in the simulated surface source image."

[0046] More preferably, in step S3, a near-range surface source interference simulation image is first generated. The size of the surface source interference image is the imaging size of the observation device, and the simulation distance at close range is less than 500 meters. Then, the details of the surface source interference simulation image are enhanced.

[0047] In a further preferred embodiment, atmospheric transmittance and path radiation at real distance are used in close-range simulation. Only the image size is increased to enhance the details of the simulated image of surface source interference. Since there is little research on surface source imaging, the details of the simulated image of surface source interference are poor. This technical solution not only solves the technical problem of "little research on surface source interference and the infrared image scene generated by simulation being too simple", but also solves the technical problem of "little research on surface source imaging, resulting in poor details of the simulated image of surface source interference".

[0048] In the fourth preferred embodiment, step S4 involves performing a Gaussian low-pass filter on the image before downsampling. This technical solution addresses the technical problem of "limited research on surface source interference and overly simplistic simulated infrared image scenes," and further solves the technical problem of "aliasing during downsampling, failing to reflect the optical diffusion effect during detector optical imaging."

[0049] More preferably, the Gaussian kernel function for:

[0050]

[0051] In the formula, The coordinates of the filter are... These are the center positions of the filters. The variance is used; different smoothing effects are achieved by adjusting the shape and size of the filter.

[0052] More preferably, the image is subjected to a Gaussian low-pass filter:

[0053]

[0054]

[0055] In the formula, The size of the Gaussian kernel, The coordinates of the Gaussian kernel, To output the coordinates of the image, and This is the center offset of the Gaussian kernel. This is a simulated image of near-field interference. This is a simulation image of surface source interference after Gaussian low-pass filtering.

[0056] More preferably, the image downsampling adopts the following formula:

[0057]

[0058]

[0059] In the formula, Here is a simulated image of the area source interference after downsampling, where N is the downsampling interval. For the actual distance of surface source interference, The simulated distance for area source interference;

[0060] More preferably, the downsampled image is subjected to a grayscale linear transformation using the following formula to restore its grayscale distribution state before downsampling:

[0061]

[0062] In the formula, This is a simulated image of surface source interference at the actual distance after downsampling. Simulated image of near-range surface source interference after downsampling Average gray value, The image of surface source interference after Gaussian low-pass filtering The average gray value. This technical solution, based on solving the technical problem of "limited research on surface source interference and overly simplistic simulated infrared image scenes", further addresses the technical problem of "Gaussian low-pass filtering altering the gray value of the image".

[0063] More preferably, in step S4, the coordinates of the simulated target on the imaging plane are calculated. and The target simulation image is compared with ( Pixel-level fusion of simulated images of nearby area source interference:

[0064]

[0065] In the formula, This is a simulated image of the target at the actual distance. This is a simulated image of an infrared scene with fused surface source interference.

[0066] Secondly, the present invention provides an infrared imaging simulation system for a surface source interference scenario, comprising a processor capable of executing a computer program, wherein the computer program, when executed, can implement the aforementioned infrared imaging simulation method for a surface source interference scenario.

[0067] Thirdly, the present invention provides: a storage medium storing a computer program, wherein the computer program, when executed, can implement the above-mentioned infrared imaging simulation method under area source interference scenarios.

[0068] In this invention, embodiments 1-2 at least support the protection scope of the technical solution of the infrared imaging simulation method under the above-mentioned area source interference scenario.

[0069] Compared with the prior art, the present invention has at least the following beneficial effects:

[0070] This invention establishes an infrared imaging simulation model under surface source interference, targeting the motion characteristics and infrared imaging characteristics of surface source interference. This improves the diversity of infrared scene images under interference conditions and enhances the details of infrared surface source simulation images, which is of great research significance for studying target recognition algorithms under infrared interference.

[0071] Furthermore, based on the present invention:

[0072] Compared with existing technologies, there is a lack of research on modeling and simulation methods for infrared images with surface source interference, resulting in overly simplistic simulated infrared image scenes. Furthermore, research on infrared surface source interference focuses on the combustion and motion characteristics of surface source interference, with less research on surface source imaging. This leads to the urgent need to address the technical problem of poor detail in simulated surface source images, which has yet to be successfully resolved. This invention successfully solves this technical problem. Attached Figure Description

[0073] Figure 1 This is a flowchart of an infrared imaging simulation method for a surface source interference scenario according to an embodiment of the present invention.

[0074] Figure 2 The image shows a simulation of infrared imaging under fused area source interference. The area within the red box in the upper right corner is a magnified view of the image within the red box in the middle.

[0075] Figure 3 for Figure 2 The following is a simulation of infrared imaging, with the upper right corner of the image containing a red box showing a magnified view of the image within the middle red box. Detailed Implementation

[0076] The following non-limiting embodiments are intended to enable those skilled in the art to gain a more comprehensive understanding of the present invention, but do not limit the invention in any way. The following content is merely an exemplary description of the scope of protection claimed by the present invention, and those skilled in the art can make various changes and modifications to the present invention based on the disclosed content, and such changes should also fall within the scope of protection claimed by the present invention.

[0077] The present invention will be further described below by way of specific embodiments.

[0078] Example 1

[0079] The infrared imaging simulation method for surface source interference scenarios of the present invention will be described in detail below with reference to an embodiment of the present invention.

[0080] like Figure 1 As shown, the present invention provides an infrared imaging simulation method for area source interference scenarios, comprising the following steps:

[0081] Step S0: Establish the force analysis equations for the surface source interference in the air after its release, and calculate the location of the surface source interference in the geodetic coordinate system. The initial deployment location of the area source interference is set to the position of the target in the geodetic coordinate system at the time of release;

[0082] Step S1: Calculate the azimuth and elevation angles of the target and the area source interference relative to the observation equipment in the geodetic coordinate system based on the coordinates of the target, the area source interference, and the observation equipment.

[0083] Step S2: Calculate the coordinates of the surface source interference on the imaging plane under the instantaneous field of view of the current observation equipment;

[0084] Step S3: Simulate and generate a near-range area source interference infrared image, wherein the difference between the near-range and the real distance is less than a preset distance; for example, the near-range is 1000 meters smaller than the real distance.

[0085] Step S4: Downsample the near-range area source interference infrared image to generate an interference image at the real distance, and fuse it with the target simulation image.

[0086] In this embodiment, preferably, in step S1, the azimuth and elevation angles of the target relative to the observation equipment are calculated using the following formulas:

[0087]

[0088]

[0089] In the formula, and These are the target's azimuth and elevation angles, respectively, in units of: ;

[0090] The coordinates of the observation equipment in the geodetic coordinate system;

[0091] The coordinates of the target in the geodetic coordinate system;

[0092] Pi;

[0093] The azimuth and elevation angles of the surface source interference relative to the observation equipment are calculated using the same method:

[0094]

[0095]

[0096] In the formula, and These are the azimuth and elevation angles of the area source interference, respectively, in units of: ;

[0097] The coordinates of the observation equipment in the geodetic coordinate system;

[0098] The coordinates of the surface source interference in the geodetic coordinate system.

[0099] In this embodiment, preferably, in step S2, with the target at the center of the observation device's field of view as a reference, the coordinates of the surface source interference on the imaging plane under the current instantaneous field of view conditions of the observation device are calculated:

[0100]

[0101]

[0102] In the formula, The image coordinates of the surface source interference on the observation equipment;

[0103] The image plane width of the detector;

[0104] This represents the image plane height of the detector;

[0105] These are the azimuth and elevation angles of the area source interference, respectively.

[0106] These are the target's azimuth and elevation angles, respectively.

[0107] ( , ) represents the coordinates of the detector's instantaneous field of view.

[0108] In this embodiment, preferably, in step S3, the surface source interference consists of several foil pieces (at least thousands in this embodiment), which are sequentially deployed. During surface source interference simulation, the surface source interference is considered as a cylinder with a height much smaller than its radius. "Much smaller" means that the ratio of height to radius is less than a preset threshold. The preset threshold is a value close to 0 between (0,1). In this embodiment, for example, the preset threshold is 0.01. This technical solution, while addressing the technical problem of "limited research on surface source interference resulting in overly simplistic simulated infrared image scenes," further solves the technical problem of "limited research on surface source imaging leading to poor detail in the simulated surface source image."

[0109] More preferably, in step S3, a near-range surface source interference simulation image is first generated. The size of the surface source interference image is the imaging size of the observation device, and the simulation distance at close range is less than 500 meters. Then, the details of the surface source interference simulation image are enhanced.

[0110] In a further preferred embodiment, atmospheric transmittance and path radiation at real distance are used in close-range simulation. Only the image size is increased to enhance the details of the simulated image of surface source interference. Since there is little research on surface source imaging, the details of the simulated image of surface source interference are poor. This technical solution not only solves the technical problem of "little research on surface source interference and the infrared image scene generated by simulation being too simple", but also solves the technical problem of "little research on surface source imaging, resulting in poor details of the simulated image of surface source interference".

[0111] In this embodiment, preferably, in step S4, the image is first subjected to Gaussian low-pass filtering before image downsampling. This technical solution not only solves the technical problem of "limited research on surface source interference and overly simplistic simulated infrared image scenes", but also further solves the technical problem of "aliasing effect during downsampling, which fails to reflect the optical diffusion effect during detector optical imaging".

[0112] More preferably, the Gaussian kernel function for:

[0113]

[0114] In the formula, The coordinates of the filter are... These are the center positions of the filters. The variance is used; different smoothing effects are achieved by adjusting the shape and size of the filter.

[0115] More preferably, the image is subjected to a Gaussian low-pass filter:

[0116]

[0117]

[0118] In the formula, The size of the Gaussian kernel, The coordinates of the Gaussian kernel, To output the coordinates of the image, and This is the center offset of the Gaussian kernel. This is a simulated image of near-field interference. This is a simulation image of surface source interference after Gaussian low-pass filtering.

[0119] More preferably, the image downsampling adopts the following formula:

[0120]

[0121]

[0122] In the formula, Here is a simulated image of the area source interference after downsampling, where N is the downsampling interval. For the actual distance of surface source interference, The simulated distance for area source interference;

[0123] More preferably, the downsampled image is subjected to a grayscale linear transformation using the following formula to restore its grayscale distribution state before downsampling:

[0124]

[0125] In the formula, This is a simulated image of surface source interference at the actual distance after downsampling. Simulated image of near-range surface source interference after downsampling Average gray value, The image of surface source interference after Gaussian low-pass filtering The average gray value. This technical solution, based on solving the technical problem of "limited research on surface source interference and overly simplistic simulated infrared image scenes", further addresses the technical problem of "Gaussian low-pass filtering altering the gray value of the image".

[0126] More preferably, in step S4, the coordinates of the simulated target on the imaging plane are calculated. and The target simulation image is compared with ( Pixel-level fusion of simulated images of nearby area source interference:

[0127]

[0128] In the formula, This is a simulated image of the target at the actual distance. This is a simulated image of an infrared scene with fused surface source interference.

[0129] Example 2

[0130] The infrared imaging simulation method for area source interference scenarios of the present invention will be described in detail below with a specific embodiment. Methods not detailed herein are the same as those in Embodiment 1. Several parameters are involved, and these parameters need to be adjusted for the specific processing environment to achieve good performance.

[0131] Simulation environment: Visual Studio 2019;

[0132] Infrared imaging simulation method under area source interference scenarios:

[0133] The aircraft will release a lot of surface interference at a certain moment, that is, there will be a lot of surface interference in the simulation image at a certain moment. In this embodiment, it is difficult to give all the angles of surface interference at a certain moment, so the angle range is given.

[0134] (1) At a certain moment, the coordinates of the observation equipment in the geodetic coordinate system are (-1.89, 13630.2, 1000).

[0135] The coordinates of the aircraft target in the geodetic coordinate system are (-10.302, 10522.7, 1000);

[0136] The azimuth angle of the aircraft in the coordinate system of the observation equipment was calculated as follows: The pitch angle is .

[0137] (2) The azimuth range of the area source interference that can be imaged on the image plane of the observation equipment is [179.82, 180.22], the elevation azimuth is [-0.11, 0.13], the row index range in the image plane is [-6, 5], and the column index range is [-27, -6];

[0138] (3) Imaging of surface-source interference at 200 meters;

[0139] (4) If the distance between a certain surface source interference and the observation equipment is 3400 meters at the current moment, then the downsampling interval is 17. The fused image is shown below. Figure 2 To illustrate the motion of the surface source interference and the target, a simulated image of the surface source interference after 1 second is provided. Figure 3 .

[0140] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, and is not intended to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions made by those skilled in the art to the technical solution of the present invention do not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A simulation method for infrared imaging under area source interference scenarios, characterized in that, Includes the following steps: Step S0: Establish the force analysis equations for the surface source interference in the air after its release, and calculate the location of the surface source interference in the geodetic coordinate system. The initial deployment location of the area source interference is set to the position of the target in the geodetic coordinate system at the time of release; Step S1: Calculate the azimuth and elevation angles of the target and the area source interference relative to the observation equipment in the geodetic coordinate system based on the coordinates of the target, the area source interference, and the observation equipment. Step S2: Calculate the coordinates of the surface source interference on the imaging plane under the instantaneous field of view of the current observation equipment; Step S3: Simulate and generate a near-range area source interference infrared image, wherein the difference between the near-range and the actual distance is less than a preset distance; Step S4: Downsample the infrared image of the near-range area source interference to generate an interference image at the real distance, and fuse it with the target simulation image; in, In step S1, the azimuth and elevation angles of the target relative to the observation equipment are calculated using the following formulas: In the formula, and These are the target's azimuth and elevation angles, respectively, in units of: ; The coordinates of the observation equipment in the geodetic coordinate system; The coordinates of the target in the geodetic coordinate system; Pi; The azimuth and elevation angles of the surface source interference relative to the observation equipment are calculated using the same method: In the formula, and These are the azimuth and elevation angles of the area source interference, respectively, in units of: ; The coordinates of the surface source interference in the geodetic coordinate system; In step S2, taking the center of the observation equipment's field of view as the reference, the coordinates of the surface source interference on the imaging plane under the current instantaneous field of view conditions of the observation equipment are calculated: In the formula, The image coordinates of the surface source interference on the observation equipment; The image plane width of the detector; This represents the image plane height of the detector; These are the azimuth and elevation angles of the area source interference, respectively. These are the target's azimuth and elevation angles, respectively. ( , () represents the coordinates of the detector's instantaneous field of view; in, In step S4, the image is first subjected to Gaussian low-pass filtering before image downsampling; The downsampled image is subjected to a grayscale linear transformation using the following formula to restore its grayscale distribution before downsampling: In the formula, This is a simulated image of surface source interference at the actual distance after downsampling. This is a simulation image of the downsampled area source interference. Simulated image of near-range surface source interference after downsampling Average gray value, The image of surface source interference after Gaussian low-pass filtering The average gray value; Based on the calculated coordinates of the simulated target on the imaging plane and The target simulation image is compared with ( Pixel-level fusion of simulated images of nearby area source interference: In the formula, This is a simulated image of the target at the actual distance. This is a simulated image of an infrared scene with fused surface source interference.

2. The infrared imaging simulation method for area source interference scenarios according to claim 1, characterized in that, In step S3, the surface source interference consists of several foil sheets that are sequentially deployed. When performing surface source interference simulation, the surface source interference is regarded as a cylinder with a height much smaller than its radius. The term "much smaller" means that the ratio of the height to the radius is less than a preset threshold. The preset threshold is a value close to 0 between (0,1).

3. The infrared imaging simulation method for area source interference scenarios according to claim 2, characterized in that, In step S3, a near-range simulation image of surface source interference is first generated. The size of the surface source interference image is the imaging size of the observation device, and the simulation distance at close range is less than 500 meters. Then, the details of the surface source interference simulation image are enhanced.

4. The infrared imaging simulation method for area source interference scenarios according to claim 3, characterized in that, In close-range simulations, atmospheric transmittance and path radiation at real distances are used, and only the image size is increased to enhance the details of the simulated image of surface source interference.

5. The infrared imaging simulation method for area source interference scenarios according to claim 1, characterized in that, Using Gaussian kernel function The function performs a Gaussian low-pass filter on the image, the Gaussian kernel function. for: In the formula, The coordinates of the filter are... These are the center positions of the filters. The variance is used; different smoothing effects are achieved by adjusting the shape and size of the filter. Apply Gaussian low-pass filtering to the image: In the formula, The size of the Gaussian kernel, The coordinates of the Gaussian kernel, To output the coordinates of the image, and This is the center offset of the Gaussian kernel.

6. The infrared imaging simulation method for area source interference scenarios according to claim 5, characterized in that, Image downsampling uses the following formula: In the formula, N is the downsampling interval. The true distance of the area source interference. The simulated distance for surface source interference.

7. An infrared imaging simulation system for area source interference scenarios, characterized in that, The system includes a processor capable of executing a computer program, which, when executed, enables the infrared imaging simulation method for area source interference scenarios as described in any one of claims 1-6.

8. A storage medium, characterized in that, The device stores a computer program that, when executed, can implement the infrared imaging simulation method for area source interference scenarios as described in any one of claims 1-6.

Images