87 results about "Channel polarization" patented technology

The invention relates to a multi-polarization-channel combined target detection method under a dynamic background, and the method comprises the steps: obtaining a multi-channel polarization information image in a target scene, and calculating a corresponding polarization degree image DoLP; performing threshold segmentation on the polarization degree image to obtain an initial target area image; sequentially selecting every three adjacent polarization information images by combining the difference among the multi-channel polarization information images, calculating a corresponding polarization degree image DoLPk, and performing threshold segmentation on the polarization degree image DoLPk to obtain an initial background region image; performing logical operation on the initial background region result to obtain a final background region image; performing background difference on the initial target area image and the final background area image to obtain a refined target area image; eliminating isolated and filled target areas by combining a filtering algorithm to obtain a final target area image; and finally, image fusion is carried out, target feature extraction is completed, and the purposes of eliminating dynamic background clutter interference and highlighting target features are achieved.

The invention provides a dual-branch super-resolution method fusing the advantages of Mama and Transform, which realizes the super-resolution reconstruction work of a remote sensing image, and comprises the steps of preparing an AID data set and a training set and a test set of UCMerceed. The method comprises the specific steps that a provided data set is used for training a model, the training model is stored in a local folder, and if the training model is satisfied, the training model is stored as a satisfied training model which is called an optimal model; and then testing by using the optimal model to improve the resolution of the remote sensing image. According to the method, the advantages of state space modeling and a self-attention mechanism are fully fused, the calculation complexity is greatly reduced while the high-resolution reconstruction quality is kept, the LMSOCA model is used for learning information fusion strategies under different scales, the detail recovery capability of edges and complex areas is remarkably improved, and the expression capability of the model is enhanced. In addition, feature dynamic fusion is achieved through a double-branch structure and self-adaptive parameters, efficient cooperation of local details and global structure information is achieved, a channel polarization dynamic attention module is designed, and on the basis of serial space attention and channel attention branches, a channel polarization dynamic attention module is designed. And a self-adaptive channel enhancement mechanism is introduced to effectively aggregate space and channel features and suppress channel redundancy, so that the expression and generalization ability of the model to complex remote sensing textures is improved.

The present invention relates to a real-time heading angle calculation method based on the vector characteristics of the polarized light field. Aiming at the problems of traditional solar meridian detection methods, such as being easily disturbed in low signal-to-noise ratio scenarios like haze and cloud cover, the occurrence of polarization angle errors and high false detection rates caused by lens distortion, and the difficulty of using single polarization angle information to fully reflect the solar direction, which affects the real-time performance and robustness of heading calculation. This method calculates polarization parameters by using multi-channel polarization images.

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

The invention discloses a polarization image defogging method based on deep learning. The method comprises the following steps: S1, collecting data and constructing a multi-mode water mist degradation data set; s2, analyzing the image data in the data set into four-channel polarization direction image data and RGB intensity image data; s3, inputting four-channel polarization direction image data, and constructing a network adaptive learning polarization parameter image to complete atmospheric transmittance estimation based on image polarization information; s4, connecting the polarization-transmittance output and the RGB-transmittance output along the channel direction, accessing a multimode information fusion network based on feature attention, and finally accessing a clear image generation module to output a clear image; and S5, optimizing network parameters by adopting an L1 loss function, and improving the generalization capability of the network. According to the method, through fusion of the polarization features and the RGB features, in combination with a feature attention mechanism, dominant feature information and polarization recessive feature information in the image are mined at the same time, and the robustness of a complex scene is improved.

The utility model provides a high-integration ultra-wideband receiving and dual-polarization TR assembly. The TR assembly comprises a housing, an H polarization transmit-receive channel, a V polarization receiving channel and port assemblies connected to two sides of the housing. The H polarization transceiving channel is connected in the front cavity, the V polarization receiving channel is connected in the back cavity, the H polarization transceiving channel is used for receiving and transmitting H polarization signals, and the V polarization receiving channel is used for receiving V polarization signals. According to the utility model, ports and transmission line layout are reasonably designed, a vertical interconnection structure and a step plate technology are flexibly adopted, an ultra-wideband receiving and dual-polarization TR assembly with a doubled integration level is developed within the size of an original single-polarization TR assembly, and a receiving and dual-polarization scheme of a phased-array antenna is realized. By adopting the microwave multi-layer step plate design, the polarization isolation degree of the receiving channel is improved, the use of a glass insulator for vertical transition power supply and signal transmission is avoided, the component cost is reduced, and the subsequent assembly work is simplified.

The invention discloses a scattering characteristic adaptive polarization imaging non-uniform fog transmission method, which comprises the following steps of: acquiring polarization images at different angles, and calculating Stokes vectors, linear polarization degrees and dual-channel polarization intensity images of the images; constructing a non-uniform fog scattering feature, and estimating a dual-channel non-uniform scattering intensity image; estimating background light at infinity, and calculating a dual-channel polarization intensity transmissivity image; constructing an attenuation matrix of the polarization dual-channel variable-scale degradation model; a polarization dual-channel variable-scale degradation imaging model is constructed, and preliminary restoration of a dual-channel non-uniform fog scene is solved; and iterating the optimal polarization variable-scale degradation matrix to obtain a final restored image of the fogless scene. According to the scattering feature self-adaptive polarization imaging non-uniform fog transmitting method, the problems of overexposure and the like caused by target polarization information loss in a non-uniform fog scene are solved, complete removal of global non-uniform fog of the scene is realized, and target scene information is restored more clearly.

The invention relates to the technical field of computer vision, in particular to a polarized underwater turbidity-removing structured light three-dimensional reconstruction method based on a focal plane, and the method comprises the following steps: building a polarized structured light system and underwater system model based on the focal plane, and carrying out the structured light three-dimensional reconstruction; four-channel polarization images of objects in the fuzzy water body and the clear water body are shot respectively, and polarization features are obtained based on the four-channel polarization images; inputting the polarization characteristics into a stripe recovery network, and recovering the high-frequency grating boundary of the fuzzy stripe image to obtain a recovered stripe image; and based on the recovered stripe image, structured light three-dimensional reconstruction is carried out to obtain a recovered point cloud. According to the method, stripe pictures of different channels are obtained through the polarization structured light camera, the polarization characteristics are calculated and then input into the stripe recovery network, noise is removed, the grating boundary is recovered, and three-dimensional reconstruction is more accurate.

The invention discloses a dual-state six-channel polarization multiplexing metasurface design method based on a phase change material. The method comprises the following steps: designing a structural unit based on the phase change material; a double-state six-channel polarization multiplexing metasurface is constructed by using the designed structural unit; the geometric structures and the orientation angles of the structural units are optimized by adopting a screening algorithm, and the optimized double-state six-channel polarization multiplexing metasurface can record six kinds of irrelevant phase information into the same double-state six-channel polarization multiplexing metasurface. The method is based on the metasurface Jones matrix regulation and control theory, comprehensively utilizes the geometric phase and the transmission / resonance phase of the structural unit, is suitable for most types of metasurface unit structures, has wide applicability, can be applied to the fields of metasurface optical encryption, multifunctional wavefront regulation and control and the like, and has important practical value.

The invention provides an HRRP target micro-motion characteristic extraction method based on chaos optimization and polarization synthesis, and aims at the field of high-resolution one-dimensional range profiles. The method comprises the following steps: performing optimal polarization contrast enhancement and optimal polarization fusion based on a maximum signal-to-noise ratio criterion on HRRP multi-channel polarization data; performing period estimation on the polarization fusion data in combination with second harmonic back-off optimization and autocorrelation / amplitude difference enhancement processing; chaotic mapping and back propagation are combined to avoid the problem that traditional optimization is prone to falling into local minimum, and precession angle and size results of the space target are obtained. According to the method, the feature contrast of HRRP data is remarkably improved through polarization fusion, meanwhile, high-precision estimation of the micro-motion features of the space target is achieved under the condition of a low signal-to-noise ratio, the stability of periodic detection within limited observation time and the global search capability of parameter inversion are effectively improved, and the method is suitable for large-scale popularization and application. And the accuracy and robustness of space target micro-motion estimation in a complex environment are obviously enhanced.

The invention provides a security physical layer dynamic elastic polarization code coding method suitable for a non-degraded channel, which comprises the following steps of: firstly, carrying out channel polarization according to an original polarization code, generating a permutation matrix and a position vector based on a shared key, and obtaining a secret generation matrix based on the permutation matrix and the position vector; dividing the secret generation matrix into two sub-matrixes according to a channel polarization result; and taking the shared key as the input of a secure hash function, outputting a hash value of the shared key, taking the obtained hash value as a frozen bit, multiplying the frozen bit and plaintext information by a submatrix to obtain two row vectors, and finally transmitting an orientation vector XOR result as a ciphertext. And the legal receiver adopts the inverse process of the above process to recover the plaintext with the help of the shared key. According to the method, column confusion and random vector insertion modes are adopted, the code word structure of the original polarization code is destroyed, the safety is improved, the hash value of the shared key is used as the frozen bit, key leakage is avoided, and the method has high confidentiality.

The invention provides a channel reconfigurable SAR echo simulator and method, and relates to the technical field of spaceborne SAR and airborne SAR echo simulation testing, the simulator comprises a radio frequency down-conversion part, an ADC acquisition channel, a signal selection module, a baseband echo modulation channel, a signal convergence module, a DAC playing channel, a radio frequency up-conversion part and a parameter resolving part, the signal selection module and the signal convergence module can carry out transmission connection topology flexible configuration, so that a baseband echo modulation channel carries out echo generation of a corresponding mode according to the multi-channel requirement of SAR echo simulation, and the requirements of three modes are realized through a set of hardware, fixed computing resources and software configuration. Therefore, the technical problem that the echo simulation channel of the existing SAR echo simulator is relatively independent and can only meet the single application requirement can be solved.

The invention provides a technical method for performing vegetation coverage anomaly analysis based on a remote sensing image, which mainly comprises the following steps of: firstly, performing registration and preprocessing on a multi-temporal SAR (Synthetic Aperture Radar) image, and performing adaptive threshold coherence detection between adjacent time phases to quickly identify suspicious felling or severely sparse regions; secondly, dual-channel polarization InSAR height inversion is only carried out on the suspicious areas, and the height change of a forest canopy is accurately obtained so as to distinguish forest damage from other slight disturbances; and time sequence analysis is further performed on the multi-temporal image in combination with a small baseline subset InSAR technology, baseline optimization is realized in cooperation with vegetation coverage segmentation and coherence screening, and progressive or sudden vegetation coverage anomalies can be identified. And finally, according to comprehensive characteristics such as height change, coherence anomaly and phase jump, outputting the type and distribution of vegetation anomaly.

The invention discloses a multi-path polarization phase active control system and method of a sub-aperture coherent synthesis system, and relates to the technical field of sub-aperture coherent synthesis, the system comprises a detection module and a control module, the detection module samples coherent synthesis light, synthesizes and detects sampled light and reference light, and controls the control module to control the coherent synthesis light. A first detection signal and a second detection signal are obtained, the control system demodulates the first detection signal to obtain a phase error signal corresponding to each beam splitting light, and each phase modulator is controlled to work based on the phase error signal corresponding to each beam splitting light so as to adjust the phase of each beam splitting light. And demodulating the second detection signal to obtain a polarization error signal corresponding to each beam splitting light, and respectively controlling each polarization controller to work based on the polarization error signal corresponding to each beam splitting light so as to adjust the polarization of each beam splitting light. According to the invention, multi-path polarization phase active control with high control speed can be realized under the condition of low system complexity.

A polarization orientation method based on sky region prior and morphological template matching of transform domain, which reduces an interference of reflected light through the sky region prior and solves sun blur through the morphological template matching of transform domain (MTMTD); a region division standard is given through prior knowledge of a sky region, and the sky region is identified by clustering darkest pixel images in 15-channel polarization images; meanwhile, the MTMTD strategy provided carries out a transform domain treatment on an image of the angle of polarization by an imaging method, and solves the problem of sun blur under a single Rayleigh scattering model without relying on an additional sensor.

The invention provides a debugging system and method for a small-angle polarization-maintaining optical fiber array. A fixing assembly, a pre-fixing assembly and a rotation adjusting assembly are arranged in the debugging system for the polarization-maintaining optical fiber array; the fixing assembly comprises a plurality of fixing pieces, and the fixing pieces are respectively used for fixing the polarization maintaining optical fibers located in different channels; the pre-fixing assembly comprises at least a plurality of pre-fixing pieces, and the pre-fixing pieces are respectively used for pre-fixing the polarization maintaining optical fibers in different channels in the same fixing piece; the pre-fixing assembly is movably adapted to the positions of polarization maintaining optical fibers in different channels; the rotation adjusting assembly is movably adapted to different positions of polarization maintaining optical fibers of different channels. Through the combined action of the fixing assembly, the pre-fixing assembly and the rotation adjusting assembly, rotation debugging of polarization-maintaining optical fibers at different positions is achieved by deviating from the center at a small angle as far as possible, and especially rotation and debugging of the polarization-maintaining optical fibers at the two side portions of a multi-channel polarization-maintaining optical fiber array are achieved at the small angle.

This invention discloses a method for semantic encoding / decoding and reliable transmission of multimodal data oriented towards channel polarization. The method includes: acquiring anchor points and target modal semantic features of multimodal data; calculating the reliability of polarization subchannels; asymmetrically mapping the two types of features to different reliability intervals according to priority and encoding and transmitting them; the receiver preferentially decodes anchor point features to reconstruct cross-modal semantic prior vectors; using the SCL algorithm to decode and split the target features, reconstructing the local semantic features of the current split path and calculating the cross-modal semantic distortion with the prior vector; and dynamically generating a joint path metric based on polarization feature parameters for list pruning, breaking the cyclic redundancy check red line, blocking retransmissions, and directly outputting the path with the minimum semantic distortion. This invention breaks down the separation between the physical and semantic layers, avoiding erroneous pruning and retransmissions caused by local noise in deep fading channels, and achieving semantic coherence and reliable transmission in complex environments.

The invention discloses a sea target depth map recovery method based on a polarization image and a regularization technology, and belongs to the field of polarization image depth recovery, and the method comprises the following steps: obtaining an original polarization image of a target; based on the four-channel polarization image, according to an illumination estimation model and a Stokes parameter under mirror reflection and diffuse mixing illumination conditions, respectively obtaining zenith angle and azimuth angle images of the target; carrying out polarization information calculation by adopting an analog polarization method to obtain a non-light-intensity polarization image of the target; determining a target surface normal by referring to the polar coordinate system of the target surface normal and using a light source dot product principle, and further obtaining a normal vector field image; gradient information of a normal vector field image is converted into a large discretization sparse matrix under a Poisson equation, on the basis of solving the Poisson equation through a biconjugate gradient method, an adaptive fusion regularization formula is proposed to stably solve the Poisson equation, and depth image recovery of the marine target is completed.

The invention discloses an optical interface structure of an integrated photonic chip for a fiber-optic gyroscope and an optical coupling method, and belongs to the technical field of integrated optics and optical fiber sensing. All input and output ports of the integrated photon chip are arranged on a coupling end face on the same side of the chip, the ports comprise at least two signal ports and two auxiliary ports, the signal ports are used for connecting tail fibers of polarization maintaining fiber rings of all measuring axes of the fiber-optic gyroscope, and the auxiliary ports are connected with a through type auxiliary coupling optical channel in the chip; each port is integrated with a spot size adaptation unit, and the spot size adaptation unit is used for matching the spot size of the polarization maintaining optical fiber and the chip waveguide; the integrated photon chip realizes single-side end face alignment coupling with the multi-channel polarization-maintaining optical fiber array through the coupling end face, tail fibers of polarization-maintaining optical fiber rings of all measuring axes of the optical fiber gyroscope are directly solidified in the multi-channel polarization-maintaining optical fiber array, a head channel and a tail channel of the multi-channel polarization-maintaining optical fiber array are aligned with two auxiliary ports of the chip respectively, and no extra welding link is needed. According to the invention, the problems of dispersed channel-by-channel coupling of optical interfaces, complex alignment of two-side FAs, large dual-link coupling loss, serious polarization cross coupling and uncontrollable coupling quality are solved, the overall precision and environmental stability of the fiber-optic gyroscope are remarkably improved, the method is suitable for various fiber-optic gyroscopes with single axes, multiple axes and the like, and the system integration level and the assembly consistency are remarkably improved.

The invention relates to the cross technical field of spectral analysis and wireless communication, and particularly discloses a biological material spectral feature extraction method for wireless communication coding. The method comprises the following steps: acquiring and preprocessing wide-spectrum original spectral data of a biological material; constructing an initial channel matrix by taking each wavelength dimension as a sub-channel; performing recursive channel transformation on the matrix based on a polarization code theory to generate a polarized channel set; high and low reliability dimensions are divided according to polarizability indexes, high reliability features are reserved, and noise is eliminated; and performing coding mapping on the simplified feature subspace to generate a compact biological feature vector for identification or classification. By introducing a channel polarization mechanism, unsupervised and high-discrimination feature screening is realized, the recognition accuracy and robustness are improved, and the method is suitable for small sample and multi-type biological material analysis.

Transparent optical repeater for satellite, and communication satellite including such a repeater. This transparent optical repeater, configured for onboard use on a satellite, comprises: - an optical fiber (OF) assembly; - a first optical head (OHU1); - a first low-noise optical amplifier (LNOA); - a polarization splitter and controller (PCS) comprising, for each output channel of the bandpass filter (BPF), a channel polarization splitter and controller (C-PCS); - a third high-power optical amplifier (HPOA), per output channel of the polarization splitter and controller (PCS); - a polarization combination unit (PBC), configured to recombine the respective output channels of the two optical multiplexers (HPWDM); and - a second optical head (OHU2) configured to output the optical signals from the output of the polarization combination unit (PBC). Figure for the abstract: [Fig. 4]

The application discloses a code length adaptive parity check polar encoding construction method, which is based on a polarization channel, has a low front channel reliability, a high rear reliability and a serial decoding characteristic of a classical polarization decoding scheme SCL, and designs a polar encoding method based on channel reliability and inserting a specified parity check code number of the code length adaptively. The method comprises the following steps: firstly, a channel polarization weight value is obtained based on a Gaussian channel to measure the channel reliability, the polarization weight value is inverted and added to the maximum polarization weight value in the channel for conversion, and then the first insertion of PC code is performed at the position of half PC code number. Finally, the second insertion of PC code is performed based on the remaining PC code number, the information bit length of PC code check and the converted polarization weight value, so that the parity check code with the code length adaptivity and the front dense and rear sparse characteristics is constructed. When SCL decoding is performed at the decoding end, the effective distribution of the parity check code in the information bit is utilized to effectively improve the saving probability of the decoding correct branch and improve the decoding performance.

A polarimetric endoscope includes an insertion tube and a polarization imaging channel. The polarization imaging channel includes (i) an imaging fiber bundle having a plurality of optical fibers and being at least partially in the insertion tube, (ii) an imaging lens at a distal tube-end, of the insertion tube, that forms an image at a distal bundle-end of the imaging fiber bundle, and (iii) a polarizer array having a plurality of polarizers each aligned to a distal end of a respective one of the plurality of optical fibers and transmitting one of a plurality of polarization states. Each of the imaging fiber bundle and the first and second illumination channels is at least partially in the insertion tube.

This invention belongs to the field of virtual reality technology, specifically relating to an XR virtual-real interaction control device that integrates optical motion capture and inertial navigation. It includes: a metasurface polarization-encoded marker array, distributed and installed at preset tracking point positions on the user's hand and head, used to generate reflected light carrying polarization identification codes when receiving illumination light; a miniature inertial measurement unit array, rigidly connected to each metasurface polarization-encoded marker in the metasurface polarization-encoded marker array, used to collect acceleration and angular velocity data at each tracking point; and a near-eye display device, including an illumination module and a polarization camera module. The illumination module projects linearly polarized illumination light onto the user's hand and head areas, and the polarization camera module receives the reflected light generated by the metasurface polarization-encoded marker array and outputs multi-channel polarization images. This invention achieves stable tracking in occlusion and rapid motion scenarios through tightly coupled visual-inertial fusion.

The utility model discloses a kind of high-reliability single-channel polarization maintaining optical fiber rotary connectors, comprising: first optical waveguide, second optical waveguide, first collimator, second collimator, first polarization converter and second polarization converter;The polarized light output by the first optical waveguide is coupled to first polarization converter;The first polarization converter is used to convert linearly polarized light into circularly polarized light;Circularly polarized light is sent into second collimator by first collimator, and the second collimator is rotatable relative to first collimator, and the second polarization converter is connected with second collimator, and rotates together;The second polarization converter converts circularly polarized light into linearly polarized light and is coupled into second optical waveguide.The utility model can realize 360 degrees unlimited rotation, and polarization maintaining optical signal can be transmitted simultaneously, and the uninterrupted transmission of optical signal is realized.The utility model effectively reduces optical signal polarization loss, reduces optical signal echo loss in rotation process.

This invention discloses a method for dynamic compensation of polarization signals in low-altitude complex terrain, an unmanned aerial vehicle (UAV) communication device, and a system, belonging to the field of wireless communication. The method includes: utilizing an edge computing platform to collect and analyze channel polarization state data in real time; employing an adaptive dynamic compensation algorithm; setting a set of candidate modulation schemes based on the channel's signal-to-noise ratio; and constructing a constraint function based on the set of candidate modulation schemes to achieve high-fidelity transmission of polarization signals. The system also integrates interference prediction, federated learning cluster collaboration, and secure communication modules, thereby achieving high security and robust communication while ensuring low latency and low power consumption. This invention effectively solves the problems of polarization signal mismatch, weak anti-interference capability, and poor environmental adaptability in existing technologies under complex terrain, improving the reliability and security of UAV communication systems, and has significant application value and market prospects.

The present invention discloses a polarization-coded quantum key distribution system with adaptive deviation correction and compensation. The light source generates quantum light and deviation correction reference light respectively, and its output end is connected to a polarization coding module. The polarization coding module is used to perform polarization coding on the quantum light and reference light generated by the light source, and then transmit them through a quantum channel to the deviation correction module at the receiving end. The deviation correction module is a module for correcting the change of channel polarization, and its output end is connected to a polarization decoding module. The polarization decoding module is used for decoding the polarization state at the receiving end, and its output end is connected to a single photon detector. The single photon detector is used for detecting the reference light, and the detection count will be sent to a polarization control module. The polarization control module is used for counting and statistically analyzing the reference light, and performing deviation correction control on the deviation correction module in real time according to the statistical result. By setting a reference light at the sending end to provide a reference for deviation correction, the use of the reference light does not occupy the quantum key distribution time of the system.

The application discloses an image denoising method based on noise guidance and polarization parameter space correlation, and relates to the technical field of optical image processing. The method comprises the following steps: in the first stage, a noise prior map is generated by polarization noise guidance double attention, and four-channel original polarization angle images are calibrated, local details and global consistent structural features are fused by polarization perception multi-scale cooperation, and a denoised polarization image is output; in the second stage, the calculated initial Stokes parameters, polarization angle and polarization degree parameters are input into a multi-branch network, each branch is sequentially subjected to feature enhancement by an adaptive polarization wavelet residual dense block, calibration by a double attention module, and physical constraint fusion and iterative calibration by a noise perception polarization feature fusion network, and finally, a denoised polarization parameter image is output. Through the two-stage deep network of noise prior guidance fusion, polarization physical modeling and multi-scale wavelet attention, high-quality denoising of four-channel polarization images and polarization parameter images is realized.

The present invention discloses a wavefront sensing system and a wavefront information decoding method using single-channel polarization encoding. The polarization information in the wavefront signal is utilized for the first time to realize polarization encoding and decoding of the spot pattern position information, getting rid of the dependence of the traditional Shack-Hartmann sensor on the photoelectric array sensor, while also solving the pain points in the wavefront detection of dim targets, exploring the application potential of single-point detectors in the field of wavefront sensing, and further expanding the application field of adaptive optical systems.

The invention relates to the technical field of electric meter testing, solves the technical problem of electric leakage misjudgment caused by metal micro chips on the surface of a wiring terminal in an insulation test, and particularly relates to an insulation test method of a single-phase intelligent electric energy meter. According to the invention, the structured stripe light is projected to the surface of the wiring terminal so as to capture the point cloud data; projecting a low-density grating to the surface of the wiring terminal to generate a basic curvature graph, and marking a high-risk area in the basic curvature graph; and dynamically adjusting the grating period based on the basic value, synchronously acquiring a multi-channel polarization image and calculating a Stokes vector. Through the curvature adaptive polarized light field technology, normal vector calculation error reduction is achieved in the area with the curvature radius smaller than the critical value, ultraviolet / near-infrared channel signal attenuation caused by overcompensation is eliminated, and the optical measurement precision on the extreme curved surface is guaranteed; and chromatography confocal scanning is combined with a deconvolution reconstruction algorithm, multilayer metal micro-chip stacking can be penetrated, and the problem of bottom-layer micro-chip leak detection caused by the shielding effect of a traditional optical system is solved.