Distributed target infrared polarization degree detection device and method

Abstract

The invention discloses a distributed target infrared polarization degree detection device and method, and relates to the field of infrared polarized light measurement, and the device comprises a distributed infrared polarization detection system and a data processing system. The distributed infrared polarization detection system comprises a plurality of sliding rails and a plurality of infrared polarization cameras; each sliding rail is provided with the infrared polarization camera; the infrared polarization camera is used for simultaneously collecting infrared polarization images of a target sample at different angles; the infrared polarization camera changes a direction angle and a detection angle through the sliding track; and the data processing system is used for determining the polarization degree of the target sample according to the infrared polarization images at different angles. According to the invention, the measurement precision and efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of infrared polarization measurement, and in particular to a distributed target infrared polarization detection device and method. Background Art

[0002] The target-background contrast of traditional photoelectric detection methods is not high enough, making it difficult to identify the target when detecting and imaging the target in complex environments, and it is impossible to distinguish the target from the complex background. In complex environments with interference such as grass and sand, the detection and identification capabilities of traditional photoelectric imaging for low-detectable targets such as stealth and camouflage are reduced. The polarization characteristics of a target generally change with the target's own physical and chemical characteristics and the observation angle. Once the target is determined, the physical and chemical characteristics of the target are also determined. At this time, the polarization characteristics of the target often depend on the observation angle. Most current measurement devices measure the polarization characteristics of an object in a single direction, or perform multi-angle time-sharing measurements. When measuring the relationship between the polarization characteristics of an object and the observation angle, these devices need to measure the polarization characteristics at different observation angles multiple times, and the angle needs to be manually adjusted during measurement. This makes the measurement process time-consuming and the measurement accuracy cannot be guaranteed. Summary of the Invention

[0003] The purpose of this application is to provide a distributed target infrared polarization detection device and method, which can improve measurement accuracy and efficiency.

[0004] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a distributed target infrared polarization detection device, comprising: Distributed infrared polarization detection system and data processing system; The distributed infrared polarization detection system includes multiple sliding tracks and multiple infrared polarization cameras; the infrared polarization camera is set on each sliding track; the infrared polarization camera is used to simultaneously collect infrared polarization images of the target sample at different angles; the infrared polarization camera changes the direction angle and detection angle through the sliding tracks; the data processing system is used to determine the polarization degree of the target sample based on the infrared polarization images at different angles.

[0005] In one embodiment, the sliding track is an arc track; the arc track is set according to a set angle; and the target sample is set at the center of the arc track.

[0006] In one embodiment, the number of the arc-shaped tracks is three; and the set angle between every two of the arc-shaped tracks is 120°.

[0007] In one embodiment, the number of the infrared polarization cameras is three.

[0008] In one embodiment, the distributed target infrared polarization degree detection device further includes a sample stage; the target sample is disposed on the sample stage.

[0009] In one embodiment, the data processing system includes a controller and multiple computers; Each computer is respectively connected to an infrared polarization camera; the controller is connected to the computers.

[0010] In a second aspect, the present application provides a distributed target infrared polarization degree detection method, which is applied to the distributed target infrared polarization degree detection device, and the distributed target infrared polarization degree detection method includes: Obtain infrared polarization images of the target sample at different angles; Perform image enhancement on the infrared polarization images of the target sample at different angles by using Gaussian pyramids and Laplacian pyramids to obtain image enhancement data; Model the reflected light component according to the image enhancement data to obtain the infrared polarization degree of the target sample.

[0011] In one embodiment, obtaining infrared polarization images of the target sample at different angles specifically includes: Adjust the position of the sliding track to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera with a detection angle of 0°; Adjust the position of the sliding track at intervals of 10° to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera at different detection angles.

[0012] In one embodiment, performing image enhancement on the infrared polarization images of the target sample at different angles by using Gaussian pyramids and Laplacian pyramids to obtain image enhancement data specifically includes: Perform downsampling and interpolation expansion prediction on the infrared polarization images of the target sample at different angles by using Gaussian pyramids to obtain Gaussian pyramid images; Determine the image data at each scale according to the Gaussian pyramid images by using Laplacian pyramids; Reconstruct according to the image data at each scale to obtain image enhancement data.

[0013] In one embodiment, modeling the reflected light component according to the image enhancement data to obtain the infrared polarization degree of the target sample specifically includes: Perform polarization BRDF modeling according to the image enhancement data to obtain a specular reflection component, a diffuse reflection component, and a volume scattering component; Use the specular reflection component, the diffuse reflection component, and the volume scattering component to determine the infrared radiation linear polarization degree of the target surface at multiple azimuth angles; The infrared radiation linear polarization degrees of the target surface at multiple azimuth angles are fitted to obtain the infrared polarization degree of the target sample.

[0014] According to the specific embodiments provided in the present application, the following technical effects are disclosed in the present application: The present application provides a distributed target infrared polarization degree detection device and method. The distributed infrared polarization detection system includes a plurality of sliding tracks and a plurality of infrared polarization cameras; the infrared polarization cameras are arranged on each sliding track; the infrared polarization cameras are used to simultaneously collect infrared polarization images of a target sample at different angles; the infrared polarization cameras change the direction angle and detection angle through the sliding tracks; the data processing system is used to determine the polarization degree of the target sample according to the infrared polarization images at different angles. By arranging a plurality of sliding tracks and arranging infrared polarization cameras on the sliding tracks, infrared polarization images of the target sample at different angles can be directly collected simultaneously, thereby improving the measurement efficiency. The infrared polarization cameras change the direction angle and detection angle through the sliding tracks to obtain infrared polarization images at different angles to determine the polarization degree of the target sample, overcoming the problem that the measurement accuracy cannot be guaranteed due to a single angle or manual angle adjustment, and improving the measurement accuracy. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of a distributed target infrared polarization degree detection device.

[0017] Figure 2 It is a schematic diagram of a distributed target infrared polarization degree detection method.

[0018] Figure 3 It is a schematic diagram of obtaining image enhancement data by performing image enhancement on infrared polarization images of a target sample at different angles using Gaussian pyramids and Laplacian pyramids.

[0019] Reference numerals: infrared polarization camera - 1, sample stage - 2, sliding track - 3, computer - 4. Detailed Embodiments

[0020] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0021] Distributed polarization detection is a method that utilizes distributed sensor networks and polarization sensing technology to achieve collaborative target detection and information acquisition. The goal of distributed polarization detection is to simultaneously detect a target from multiple perspectives using multiple distributed sensor nodes located in different spatial locations. This technology collects optical images of the target from different perspectives, enabling high-precision acquisition of polarization distribution information over a large area. Distributed imaging detection systems can extract target information across scenarios, platforms, and multiple perspectives at multiple granularities, including target image information (texture, shape, grayscale, etc.), target motion information, and target position information.

[0022] Therefore, by collecting distributed, multi-spectral polarization features of ground targets, we can establish a targeted polarization feature database for specific targets. By comparing the polarization feature differences between the measured target and the surrounding common background at various viewing angles and spectral bands, we can use the polarization features to identify and detect ground targets in low-light and complex environments.

[0023] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0024] In an exemplary embodiment, Figure 1 As shown, a distributed target infrared polarization detection device is provided, including: a distributed infrared polarization detection system and a data processing system.

[0025] The distributed infrared polarization detection system includes multiple sliding tracks 3 and multiple infrared polarization cameras 1; the infrared polarization camera 1 is set on each sliding track 3; the infrared polarization camera 1 is used to simultaneously collect infrared polarization images of the target sample at different angles; the infrared polarization camera 1 changes the direction angle and detection angle through the sliding track 3; the data processing system is used to determine the polarization degree of the target sample based on the infrared polarization images at different angles.

[0026] In an exemplary embodiment, the sliding track 3 is an arc track; the arc track is set according to a set angle; and the target sample is set at the center of the arc track.

[0027] In an exemplary embodiment, the number of the arc-shaped tracks is three; the set included angle between every two arc-shaped tracks is 120°.

[0028] In an exemplary embodiment, the number of the infrared polarization cameras is three, namely a first infrared polarization camera, a second infrared polarization camera and a third infrared polarization camera, which are respectively installed on the three arc-shaped tracks.

[0029] In an exemplary embodiment, the distributed target infrared polarization degree detection device further includes a sample stage 2; the target sample is arranged on the sample stage 2.

[0030] In an exemplary embodiment, the data processing system includes a controller and multiple computers 4; each computer 4 is respectively connected to an infrared polarization camera 1; the controller is connected to the computers 4. In practical applications, each computer 4 is connected to a synchronizer, and the data processing system further includes a computer 4 connected to the controller, which performs image processing and data fitting on the infrared polarization images collected by multiple cameras.

[0031] Aiming at the problem that when in a complex environment such as low light intensity, dark environment, thick fog, thick smoke, coating net and other technologies that make the target and the environment blend into one, the appearance, posture, and observation azimuth angle of different targets in the cluttered background show huge differences in the characteristics of the camouflaged target, and it is difficult to detect and identify with a single angle, the distributed target infrared polarization degree detection device provided by the present application can realize the detection and identification of optoelectronic low-detectable targets in a complex environment.

[0032] In practical applications, the specific usage scenarios of the distributed target infrared polarization degree detection device are as follows.

[0033] The target sample is placed on the sample stage 2, the sample stage 2 is located at the central position of the distributed infrared polarization detection system, the sliding tracks 3 are arranged on the hemisphere device at intervals of 120°, and the sliding tracks 3 are marked with angles. The multiple infrared polarization cameras 1 arranged on the distributed infrared polarization detection system include a first infrared polarization camera, a second infrared polarization camera and a third infrared polarization camera. The first infrared polarization camera is fixed on the sliding track 3 at the azimuth angle of 0°, the second infrared polarization camera is fixed on the sliding track 3 at the azimuth angle of 120°, and the third infrared polarization camera is fixed on the sliding track 3 at the azimuth angle of 120°. The first infrared polarization camera is connected to a first computer, the second infrared polarization camera is connected to a second computer, and the third infrared polarization camera is connected to a third computer.

[0034] Multiple computers 4 include a first computer, a second computer, a third computer, and a fourth computer. The first computer, the second computer, the third computer, and the fourth computer are connected through a controller. The first computer controls the first infrared polarization camera to collect and save images. The second computer controls the second infrared polarization camera to collect and save images. The third computer controls the third infrared polarization camera to collect and save images. The fourth computer synchronously controls the first computer, the second computer, and the third computer to perform image collection, and performs image and data processing on the collected images.

[0035] By setting multiple sliding tracks 3 and arranging infrared polarization cameras 1 on the sliding tracks 3, it is directly possible to simultaneously collect infrared polarization images of a target sample at different angles, thereby improving the measurement efficiency. The infrared polarization camera 1 changes the direction angle and detection angle through the sliding track 3, and the infrared polarization images at different angles determine the polarization degree of the target sample, overcoming the problem that the measurement accuracy cannot be guaranteed due to a single angle or manual angle adjustment, and improving the measurement accuracy.

[0036] Based on the same inventive concept, the embodiments of the present application also provide a distributed target infrared polarization degree detection method for implementing the above-mentioned distributed target infrared polarization degree detection device. The solution for solving the problem provided by the device is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the distributed target infrared polarization degree detection method provided below can refer to the limitations on the distributed target infrared polarization degree detection device in the above text, and will not be repeated here.

[0037] In an exemplary embodiment, a distributed target infrared polarization degree detection method is provided, which is applied to the above-mentioned distributed target infrared polarization degree detection device. The distributed target infrared polarization degree detection method includes: Obtain infrared polarization images of a target sample at different angles.

[0038] Perform image enhancement on the infrared polarization images of the target sample at different angles using Gaussian pyramids and Laplacian pyramids to obtain image enhancement data.

[0039] Model the reflected light component based on the image enhancement data to obtain the infrared polarization degree of the target sample.

[0040] In an exemplary embodiment, obtaining infrared polarization images of a target sample at different angles specifically includes: adjusting the position of the sliding track to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera with a detection angle of 0°; adjusting the position of the sliding track at intervals of 10° to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera at different detection angles.

[0041] In an exemplary embodiment, the infrared polarization images of the target sample at different angles are enhanced using Gaussian pyramids and Laplacian pyramids to obtain image enhancement data, specifically including: downsampling and interpolation expansion prediction are performed on the infrared polarization images of the target sample at different angles using Gaussian pyramids to obtain Gaussian pyramid images; the image data at each scale is determined using Laplacian pyramids based on the Gaussian pyramid images; and the image enhancement data is obtained by reconstructing the image data at each scale.

[0042] In an exemplary embodiment, the infrared polarization degree of the target sample is modeled based on the image enhancement data, specifically including: polarization BRDF modeling is performed based on the image enhancement data to obtain specular reflection components, diffuse reflection components, and volume scattering components; the infrared radiation linear polarization degrees of the target surface at multiple azimuth angles are determined using the specular reflection components, diffuse reflection components, and volume scattering components; and the infrared polarization degree of the target sample is obtained by fitting the infrared radiation linear polarization degrees of the target surface at multiple azimuth angles.

[0043] In an exemplary embodiment, as Figure 2 and Figure 3 shown, the specific process of the distributed target infrared polarization degree detection method in practical applications is also provided, including the following steps.

[0044] (1) Sunlight is used as the light source of the entire system. Infrared polarization cameras are fixed on three sliding tracks. The first infrared polarization camera, the second infrared polarization camera, and the third infrared polarization camera perform hemispherical space measurement on the target on the sliding tracks at 0°, 120°, and 240° of the target azimuth angle; and the sample stage is placed in an outdoor test environment, such as grassland, and the sample stage and the infrared camera 1 to which the infrared polarization detection device belongs are on the same vertical axis.

[0045] (2) Adjust the position of the sliding track so that the detection angles of the three infrared polarization cameras are 0 degrees, and detect the target. The first infrared polarization camera collects the infrared polarization image of the target at the 0° azimuth angle, the second infrared polarization camera collects the infrared polarization image of the target at the 60° azimuth angle, and the third infrared polarization camera collects the infrared polarization image of the target at the 120° azimuth angle and saves it. The naming method for saving the infrared polarization image is "detection zenith angle - azimuth angle".

[0046] (3) The range of the detection angle is 0° - 60°. Change the detection angles of the three infrared polarization cameras, and detect and save images at intervals of 10°.

[0047] (4) Image acquisition of the target sample is carried out at different times of the day. The first group of detections starts at 8:00 in the morning, and the solar incident angle at this time is recorded. Steps (2) and (3) are repeated every hour until 17:00, when the last group of detections is carried out. The naming rule for the measurement folder is "time - solar incident angle - detection zenith angle - azimuth angle".

[0048] (5) The Laplacian pyramid algorithm is used to enhance the acquired infrared polarization images. The Laplacian pyramid algorithm can highlight details such as edges and textures of the image through decomposition at different levels. The process includes constructing a Gaussian pyramid, constructing a Laplacian pyramid, and image reconstruction. The specific process is as follows.

[0049] The construction of the Gaussian pyramid includes a downsampling process and an interpolation and dilation prediction process.

[0050] The infrared polarization image is transformed to the frequency domain using the Fast Fourier Transform (FFT), then multiplied point - by - point with the frequency - domain representation of the separable Gaussian filter, and then transformed back to the spatial domain through the Inverse Fast Fourier Transform (IFFT) to accelerate the convolution process to complete Gaussian blurring. Then, a downsampling operation is performed in the row and column directions of the convolved image to obtain the upper - layer image G 1 . The calculation process adopts an optimization method based on FFT and separable filters, and the expression is: .

[0051] Where, is the first - layer image of the Gaussian pyramid, is the weight value of the Gaussian model at point , are the coordinates of the pixels of the infrared polarization image.

[0052] The Gaussian pyramid image G 1-1 is transformed to the frequency domain through FFT, multiplied point - by - point with the frequency - domain filter corresponding to interpolation and dilation prediction, and then transformed back to the spatial domain through IFFT to obtain the next - layer Gaussian pyramid image . The calculation process is: .

[0053] .

[0054] After the construction of the Gaussian pyramid is completed, a certain number of layers are configured for the infrared polarization image to construct the Laplacian pyramid. Let LP1 be the first layer of the Laplacian pyramid, and its calculation method is to use the image of the first layer of the Gaussian pyramid subtract the image of the previous level , and the calculation formula is: .

[0055] Among them , L refers to the L th layer of the corresponding pyramid, and N is the upper limit value related to the number of layers, which is used to limit L the value range of.

[0056] Reconstruct the original infrared polarization image using the image data of each layer reconstructed by the Gaussian pyramid and the Laplacian pyramid. The calculation formula is: .

[0057] Among them . During the reconstruction process, the reflection and scattering models of infrared polarized light on the object surface can be combined to perform compensation calculations on the polarization information of pixels at the boundary. For example, according to the material and surface characteristics of the object, as well as the incident angle of infrared polarized light, the degree of polarization and polarization direction at the boundary are corrected to restore the accurate polarization information at the boundary.

[0058] (6) Perform data processing on the infrared polarization image reconstructed by the pyramid image, model the components of the reflected light according to the processed data, and calculate the target infrared polarization BRDF data. The polarization degree data of three angles are obtained by calculating the infrared polarization bidirectional reflectance distribution function (Bidirectional Reflectance Distribution Function, BRDF) data of three azimuth angles of the target, and finally the polarization degrees of the three azimuth angles of the target are fitted to the polarization degree of the target. The calculation process is as follows.

[0059] When performing polarization BRDF modeling, model the specular reflection component, and the expression is as follows: .

[0060] Among them, .

[0061] Among them, is the specular reflection component, M ij s are the Mueller matrix elements in the specular reflection direction; θ i and They are the zenith angle and azimuth angle of the incident direction respectively; θ r and They are the zenith angle and azimuth angle of the reflection direction respectively; is the wavelength; α is the angle between the microfacet normal and the macroscopic normal of the rough surface; β is the angle between the incident light and the microfacet normal; σ is the surface roughness constant of the object; the angle respectively represent the spherical projections of the angles ; are all empirical parameters. is a parameter related to roughness, and this parameter is represented by .

[0062] For the polarized BRDF modeling of the target material surface, the expression is as follows: .

[0063] Among them, is the three-component intensity expression of the target material surface, , and are the specular reflection component, diffuse reflection component and volume scattering component respectively; is the specular reflection component; is the diffuse reflection component, =1 is the volume scattering component. is the wavelength.

[0064] In the infrared imaging system, the incident light is natural light, and the expression is , is the Stokes expression of the incident light, is the background radiation intensity, and the Stokes vector of the infrared radiation polarization of the target surface is represented by the reflected radiation vector and the spontaneous emission vector , and the expression is.

[0065] .

[0066] is the solid angle in the reflection direction, is the emissivity of the target object itself, I obg is the target radiation intensity, is the total reflectance distribution function, is the 0° linear polarization reflection efficiency distribution function, is the 45° linear polarization reflection efficiency distribution function, is the circular polarization reflection efficiency distribution function.

[0067] Substitute the elements in the Mueller matrix M ij into the Stokes vector expression of infrared radiation polarization, we get

[0068] .

[0069] Wherein, I is the total light intensity of the reflected light; Q is the linear polarization difference between the horizontal and vertical directions of the reflected light; U is the linear polarization difference in the ±45° direction of the reflected light; V is the circular polarization component of the reflected light, The expression is as follows, represents the Fresnel reflectivity of the component of the light wave parallel to the incident plane, represents the Fresnel reflectivity of the component perpendicular to the incident plane, is the angle between the reflection direction and the two planes formed by the normal of the object surface and the normal of the microfacet. and are the reflection coefficients of the p and s components of the incident light by the target.

[0070] .

[0071] When detecting at an azimuth angle, the degree of linear polarization of the infrared radiation on the target surface The expression is: .

[0072] When performing BRDF modeling, the specular reflection component on the material surface dominates. The specular reflection is mainly determined by the Fresnel reflection law, which describes the relationship between the incident angle and the reflectivity. The distributed polarization degree of the target material surface is defined according to the distribution of the specular reflection amount of the target received by the receiver from different angles. That is, when the distributed infrared detection system detects, the overall polarization degree of the target is measured by the proportion of the specular reflections at 0°, 120°, and 240° in the total specular reflections in three directions in the polarization degree distribution of each direction in the system. The overall polarization degree of the target The expression is as follows.

[0073] .

[0074] , , are the specular reflections at 0°, 120°, and 240° respectively, are the polarization degrees at 0°, 120°, and 240° respectively. ​

[0075] Bring the reflectance into the Stokes vector to obtain the expression of the overall polarization degree of the target.

[0076] This application has the following technical effects: The camera component for distributed collaborative detection provided by this application can collect polarization images of a sample to be measured on a sample stage at different angles. After computer processing, polarization degree data of the sample to be measured at different angles can be obtained. Then, through fitting, the final target polarization degree data can be determined and used as the measurement result value of the sample to be measured. Distributed infrared polarization detection detects the target simultaneously from multiple perspectives and collects polarization images at different angles. By comparing the polarization feature differences between the target and the background at different perspectives and spectral bands, that is, the polarization degree differences between the target and the background, ground targets can be effectively identified in low-light complex environments (such as scenes with low light intensity, darkness, thick fog, thick smoke, and the target and the environment being integrated through a coating net). This greatly enhances the detection and identification ability in complex environments, effectively solves the technical bottleneck that it is difficult to balance high resolution and large field of view of a single sensor, and provides strong support for more extensive and accurate application of polarization characteristics in subsequent fields such as military reconnaissance, environmental monitoring, and industrial detection, improving the understanding and application ability of polarization information.

[0077] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0078] [[ID=1,6]]In this application, all actions of obtaining signals, information, or data are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where the device is located and obtaining authorization from the owner of the corresponding device.

[0079] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0080] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0081] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0082] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A distributed target infrared polarization degree detection device, characterized in that, Comprising: A distributed infrared polarization detection system and a data processing system; The distributed infrared polarization detection system includes a plurality of sliding tracks and a plurality of infrared polarization cameras; the infrared polarization cameras are arranged on each sliding track; the infrared polarization cameras are used to simultaneously collect infrared polarization images of a target sample at different angles; the infrared polarization cameras change the direction angle and the detection angle through the sliding tracks; the data processing system is used to determine the polarization degree of the target sample according to the infrared polarization images at different angles.

2. The distributed target infrared polarization degree detection device according to claim 1, characterized in that The sliding track is an arc track; the arc tracks are arranged at a set angle; the target sample is arranged at the center of the sphere of the arc track.

3. The distributed target infrared polarization degree detection device according to claim 2, characterized in that, The number of the arc tracks is three; the set angle between every two arc tracks is 120°.

4. The distributed target infrared polarization degree detection device according to claim 2, wherein The number of the infrared polarization cameras is three.

5. The distributed target infrared polarization degree detection device according to claim 1, wherein The distributed target infrared polarization degree detection device further includes a sample stage; the target sample is arranged on the sample stage.

6. The distributed target infrared polarization degree detection device according to claim 1, wherein The data processing system includes a controller and multiple computers; Each computer is respectively connected to an infrared polarization camera; the controller is connected to the computers.

7. A distributed target infrared polarization degree detection method, characterized in that, The distributed target infrared polarization degree detection method is applied to the distributed target infrared polarization degree detection device according to any one of claims 1-6, and the distributed target infrared polarization degree detection method includes: Obtaining infrared polarization images of a target sample at different angles; Performing image enhancement on the infrared polarization images of the target sample at different angles by using a Gaussian pyramid and a Laplacian pyramid to obtain image enhancement data; Modeling the reflected light component according to the image enhancement data to obtain the infrared polarization degree of the target sample.

8. The distributed target infrared polarization degree detection method according to claim 7, wherein, Obtaining infrared polarization images of a target sample at different angles, specifically including: Adjusting the position of the sliding track to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera with a detection angle of 0°; Adjusting the position of the sliding track at intervals of 10° to obtain infrared polarization images at different azimuth angles collected by each infrared polarization camera at different detection angles.

9. The distributed target infrared polarization degree detection method according to claim 7, characterized in that Performing image enhancement on the infrared polarization images of the target sample at different angles by using a Gaussian pyramid and a Laplacian pyramid to obtain image enhancement data, specifically including: Performing downsampling, interpolation expansion prediction on the infrared polarization images of the target sample at different angles by using a Gaussian pyramid to obtain Gaussian pyramid images; Determining the image data at each scale according to the Gaussian pyramid images by using a Laplacian pyramid; Performing reconstruction according to the image data at each scale to obtain image enhancement data.

10. The distributed target infrared polarization degree detection method according to claim 7, wherein Modeling the reflected light component according to the image enhancement data to obtain the infrared polarization degree of the target sample, specifically including: Performing polarization BRDF modeling according to the image enhancement data to obtain a specular reflection component, a diffuse reflection component and a volume scattering component; Determining the infrared radiation linear polarization degree of the target surface at multiple azimuth angles by using the specular reflection component, the diffuse reflection component and the volume scattering component; Fitting the infrared radiation linear polarization degrees of the target surface at multiple azimuth angles to obtain the infrared polarization degree of the target sample.

Images