82 results about "Stokes parameters" patented technology

The invention discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention provides a high-reflection plane metal part defect detection method and system based on a composite polarized light source, and a medium. The method comprises the following steps: illuminating a high-reflection plane metal part based on the composite polarized light source, adjusting a light source polarization angle and an LED wave band combination to construct a shooting environment, and collecting an image sequence; calculating a polarization intensity distribution parameter for the image sequence based on the relationship between the polarization intensity and the Stokes parameter to obtain a polarization intensity distribution image; analyzing the polarization intensity distribution image based on a polarized light reflection model, and outputting a specular reflection component and a diffuse reflection component; fitting the specular reflection component and separating the diffuse reflection component to obtain a reflection-removed image; based on an image enhancement algorithm, edge enhancement is carried out on the reflection-removed image to obtain an enhanced image, and based on a defect identification algorithm, the enhanced image is analyzed to obtain defect information; by removing the diffuse reflection component and reconstructing the image, the mirror interference is effectively stripped, and the defect identification precision is improved.

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 lunar rock abundance inversion method and system combining SAR and DEM data, a storage medium and an electronic device, and the method comprises the following steps: employing a reduced polarization Mini-RF SAR image, and extracting Stokes parameters and sub-parameters thereof; a polarization decomposition technology is applied to extract scattering mechanism characteristics, and various polarization decomposition components such as surface scattering, secondary scattering and volume scattering are obtained. And performing correlation evaluation on the multi-source characteristic parameters and DiViner rock abundance by applying a correlation analysis method, and screening out characteristic parameters with relatively high correlation with the rock abundance. And in combination with DEM data, terrain related parameters are calculated to represent topographic relief features. And an SSA optimized RF model is constructed, and SAR and DEM features are trained. The trained model is migrated and applied to a permanent shadow area of the South Pole of the moon, and a rock abundance distribution diagram of the PSR area is obtained through inversion. According to the method, the rock abundance inversion precision and stability in complex terrains and low-illumination areas are effectively improved, and reliable data support is provided for polar region landing point selection and resource evaluation.

The invention relates to the technical field of optical element surface shape dynamic measurement scheme design, in particular to an element surface shape dynamic measurement system based on a metasurface. According to the scheme, polarized light emitted by a laser is split into reference light and test light, the test light passes through a quarter-wave plate twice to realize polarization orthogonalization, and the test light is combined with the reference light to form elliptically polarized light; synchronously capturing component intensities of left-handed / right-handed circular polarized light and orthogonal line polarized light by using a detector, and resolving a phase difference delta in real time by combining a Stokes parameter; environmental interference is eliminated based on a common-path design, a polarization beam-splitting element is omitted, and the architecture is simplified; accurate dynamic measurement of the surface shape of the measured piece is realized by deducting the inherent surface shape error of the system. The system provided by the invention has the advantages of strong anti-interference performance, high measurement efficiency, remarkable cost reduction and the like, and is suitable for precise optical manufacturing and on-line detection scenes.

The invention discloses an electric orthogonal polarization synchronous control system of a geological microscope. The electric orthogonal polarization synchronous control system comprises six modules including a stokes parameter dynamic sensing unit based on multi-dimensional space vector transformation and a polarization mode dispersion feature extraction unit fusing adaptive weight distribution. The system captures original signals of polarized light through a high-frequency sampling circuit, generates corresponding compensation parameters according to actual parameters of the geological microscope through feature extraction and parameter calculation, generates driving signals in combination with dynamic threshold adjustment, drives an electric polarization component, and ensures control accuracy through closed-loop feedback adjustment. And each unit is also subdivided into functional subunits, such as mapping model updating, threshold acquisition and the like, so that self-adaptive optimization is realized. The multi-modal data interaction and cooperative control unit guarantees data interaction and overall cooperation of all the modules, the system solves the problems that traditional manual adjustment is low in efficiency and poor in precision, and an existing automatic system is insufficient in polarization mode dispersion processing, and the observation performance of the geological microscope is improved.

This invention relates to the field of optical imaging and detection technology, specifically providing a broadband snapshot-type polarization interferometry imaging detection system and method for breast tumors. A broadband light source illuminates a breast tumor tissue sample. The reflected signal light is collected and collimated by a pre-optical system, then sequentially passes through a first and a second ray shaping unit for two shearing and two polarization state transformations, resulting in two beams of linearly polarized light and two beams of circularly polarized light. These beams are imaged by an imaging lens to an area array detector to obtain a polarization interferogram, which is then demodulated to obtain all Stokes parameters of the breast tumor tissue sample. This invention achieves broadband snapshot imaging of breast tumors with all Stokes parameters without using an analyzer, doubling the light throughput compared to traditional polarization imaging instruments using analyzers. Furthermore, this invention has advantages such as compact structure, no moving parts, easy assembly and adjustment, and no need for image registration.

The invention provides an environmental perception and decision-making method and system for a large model in automatic driving, and the method comprises the steps: generating light intensity distribution data carrying Stokes parameters through obtaining an original road image of a multispectral channel; calculating a polarization spectrum coupling coefficient of weather medium scattering noise based on a Stokes parameter and the wavelength of a multispectral channel, performing compensation processing on the original road image by combining the light intensity distribution data, generating a polarization spectrum joint compensation image, and performing smoothing and strengthening processing on the polarization spectrum joint compensation image to generate a multi-level feature map; performing noise suppression and feature propagation operation on the multi-level feature map to reconstruct an object contour shielded by a weather medium, obtaining object space distribution after reconstruction, and generating an obstacle avoidance control instruction of the autonomous vehicle in combination with road boundary geometric features; according to the technical scheme provided by the invention, the driving safety and the autonomous navigation capability under complex weather conditions are improved.

The invention relates to a metal surface weld feature positioning method and system based on polarization imaging, and the method comprises the steps: collecting a plurality of polarization information images of a metal surface in different polarization directions, and calculating the Stokes parameter images of the polarization information images; processing the plurality of polarization information images to obtain strong reflection light component images; segmenting the strong reflection light component image to obtain an initial target laser line image; segmenting the second Stokes parameter image to obtain an initial background laser line image; performing morphological operation on the initial background laser line image to obtain a final background laser line image; performing logical operation on the initial target laser line image and the final background laser line image to obtain a final target laser line image; and reconstructing a laser line track and positioning welding seam feature points. According to the method, the dependence of the traditional technology on a large number of manual parameters is avoided, and the robustness, the adaptive capability and the generalization performance in the complex illumination and reflection environment are greatly improved through the adaptive image processing flow.

The invention relates to the technical field of optoelectronic devices, and discloses a monolithic integrated full Stokes polarization detector and a preparation method thereof. The full Stokes polarization detector comprises a plurality of PIN photodiodes, a transparent conductive layer formed on the PIN photodiodes, a titanium oxide metasurface structure formed on the transparent conductive layer, a top electrode formed on the transparent conductive layer and a bottom electrode formed at the bottom of the PIN photodiodes. The titanium oxide metasurface structure comprises six metasurface pixels, and the six metasurface pixels are in one-to-one correspondence with the PIN photodiodes. According to the invention, the characteristic of high refractive index of titanium oxide from visible light to near-infrared band is utilized, and six titanium oxide metasurface units are designed and are integrated with the silicon-based PIN photodiode monolithic, so that full Stokes parameter detection of incident light in any polarization state is realized.

The invention discloses a self-reference three-phase polarization imaging system and method based on an integrated photon neural network, and the method comprises the steps: setting a fixed phase difference in a silicon-based photon chip to achieve three-phase projection and single-port reading, outputting a three-phase interference signal at the same time, obtaining all phase and polarization information in one-time imaging to achieve full-polarization measurement, and carrying out the single-port reading of the silicon-based photon chip; according to the invention, the effective resolution ratio is consistent with that of an original detection array, power and temperature drift is eliminated, single-frame acquisition has no time sequence error and motion artifact, a stable and compact single-port self-reference reading mode is realized through a three-phase interference measurement architecture constructed on a chip in combination with channel normalization and rotation correction, and complete Stokes parameters and polarization information can be measured. According to the system provided by the invention, the MZI is adopted, so that the phase bias can be flexibly adjusted, and different bandwidth requirements can be met by adjusting an interference path. The silicon-based photon platform has a broadband response characteristic and can cover a visible wave band, so that the device can keep stable interference performance in a communication wave band.

The invention discloses a multi-angle polarization imaging method and system for micro scratches on the surface of an aluminum plate, and the method can convert the physical difference which cannot be distinguished by naked eyes and a common camera into a significant gray difference on an image through calculating a Stokes parameter and constructing a polarization feature image, thereby forming a high-contrast detection image, and improving the detection precision. The detection sensitivity and the signal-to-noise ratio are obviously improved; the method is extremely sensitive to polarization state disturbance caused by changes of the surface microstructure of the aluminum plate, interference of a uniform background can be effectively restrained, and therefore the probability of missing detection and false detection is remarkably reduced.

The application discloses a Stokes parameter encoder, which comprises a fiber optical circulator and an optical path round trip path; a polarization maintaining fiber Faraday rotator is arranged on the optical path round trip path to rotate the polarization of light by 45 degrees; the fiber optical circulator is a polarization maintaining fiber optical circulator; the fiber optical polarization beam splitter is a polarization maintaining fiber optical polarization beam splitter; the delay fiber is a polarization maintaining delay fiber; and the fiber optical phase modulator is a polarization maintaining fiber optical phase modulator. The application further discloses a parameter encoding method of the encoder. The above technical scheme can perfectly offset the rotation angle deviation problem caused by the device, can guarantee the stability of the rotation angle regardless of the angle deviation of the device, is easy to realize the driving circuit, is easy to integrate and small in size due to the pure fiber structure, and can realize the continuous variable quantum key distribution of the complete GG02 protocol based on the Stokes encoder.

The invention relates to a method for realizing transient absorption full polarization state measurement based on Stokes parameters. The method is suitable for accurately representing detection light absorption polarization state change caused by pump light excitation. According to the method, a femtosecond pulse generation module is used for generating a pump light and probe light pulse sequence, and the pump light and probe light pulse sequence is modulated by a femtosecond pulse modulation module and then used for exciting a sample and detecting signal changes. The polarization state of the detection light signal is changed through the Stokes parameter modulation module, and finally the detection light signal is collected by the time resolution signal acquisition module. Stokes parameters at different delay moments are calculated by recording the change of the light intensity of the probe light in the on / off state of the pump light, and polarization information such as the degree of polarization, the azimuth angle and the elliptic polarization is further obtained. The method combines a transient absorption spectrum technology and a polarization modulation technology, has time resolution and polarization resolution capabilities, is suitable for research on anisotropic and chiral polarization sensitive samples and the like, and can be widely applied to polarization related fields such as material research and molecular optical analysis.

This invention discloses a method and system for intelligent weather image acquisition and recognition, specifically relating to the field of weather image recognition technology. It involves continuous polarization imaging of the sky region while simultaneously acquiring spatial attitude and temporal information; preprocessing the polarization image data and extracting Stokes parameters to obtain standardized sky polarization light field data; then using a theoretical Rayleigh scattering model to analyze the polarization degree distribution pattern at different wavelengths to obtain theoretical sky polarization pattern characteristics; based on the polarization light field data, identifying the spatial distribution of actual clouds, aerosols, and haze in the sky to form actual atmospheric composition distribution characteristics; extracting anomalous polarization regions through difference analysis between theoretical and actual characteristics, and accurately classifying halo polarization anomalies and scattering polarization anomalies based on geometric and spectral characteristics; generating ultralocal weather change early warning signals based on the classification results; thus improving the accuracy and real-time performance of early warnings for ultralocal anomalous weather phenomena.

The application discloses a kind of full polarization spectral imaging device and detection method, contain sequentially arranged polarization modulator, imaging spectrometer, data acquisition processing display system to incident light;Polarization modulator is single fixed retarder and single fixed linear polarizer sequentially arranged along incident light, can carry out spectral modulation to full stokes parameter, it has the superiority of simple, ultra-compact, miniaturization, anti-system error in structure.By constructing complete imaging physical model or constructing imaging physical model based on compressed sensing, then using untrained artificial neural network realizes the full stokes parameter image reconstruction under each narrow waveband, and the deep neural network of "black box operation" is endowed with physical meaning.The reconstructed polarization spectral resolution can be consistent with the resolution of the imaging spectrometer used;And it has the characteristics of strong anti-noise ability, so as to ensure high-quality reconstruction.

The invention discloses a polarization three-dimensional imaging method and system based on a Mueller matrix, and the method comprises the steps: building a polarization three-dimensional imaging model based on the Mueller matrix, and collecting a plurality of groups of polarization images through a dual-spin wave plate method; resolving a 4 * 4 Mueller matrix based on the multiple groups of polarization images; calculating a full stokes vector of the emergent light based on a 4 * 4 Mueller matrix; calculating the linear polarization degree according to the full stokes vector of the emergent light; a zenith angle is obtained in an iterative inversion mode based on the linear polarization degree; calculating an azimuth angle based on the Stokes parameter of the Stokes vector of the emergent light according to a polarization three-dimensional imaging model based on a Mueller matrix; constructing a target surface normal direction based on the zenith angle and the azimuth angle; and calculating a gradient field component according to the geometrical relationship between the target surface normal and the gradient, substituting the gradient field component into a frequency domain integral reconstruction formula, completing target surface height field reconstruction, and further obtaining a three-dimensional reconstruction image.

The application provides an environment perception and decision-making method and system of a large model in automatic driving, generates light intensity distribution data carrying Stokes parameters by acquiring a road original image of multiple spectral channels; calculates a polarization spectrum coupling coefficient of weather medium scattering noise based on the Stokes parameters and the wavelengths of the multiple spectral channels, combines the light intensity distribution data, compensates the road original image, generates a polarization spectrum joint compensation image, and performs smoothing and strengthening processing on the polarization spectrum joint compensation image to generate a multi-level feature map; performs noise suppression and feature propagation operations on the multi-level feature map to reconstruct the object contour hidden by the weather medium, obtains a reconstructed object spatial distribution, combines a road boundary geometric feature, and generates an obstacle avoidance control instruction of an automatic driving vehicle; and the technical scheme provided by the application improves the driving safety and autonomous navigation ability under complex weather conditions.

This application relates to the field of optical polarization measurement technology, specifically to a wide-spectrum, high-bandwidth static spectral modulation Stokes polarization measurement device, comprising a polarization modulation module, a spectral sampling module, and a high extinction ratio polarizer. The polarization modulation module includes a phase retarder and a linear polarizer; the spectral sampling module has sub-nanometer spectral resolution; the high extinction ratio polarizer includes a halogen tungsten lamp and a Glan Taylor prism for generating high-purity linearly polarized light; the obtained demodulation factor and the modulation spectrum acquired by the spectral sampling module are used to invert the Stokes parameters using zero-heterodyne coherent demodulation technology. This application employs a phase retarder with high birefringence, which, for the same thickness, produces an optical path difference tens of times greater than that of quartz, increasing the Stokes polarization measurement bandwidth by a factor of the response and improving the measurement accuracy of polarization spectral parameters. Simultaneously, the zero-heterodyne coherent demodulation method is used to eliminate the dispersion interference of the phase retarder through calibration.

The application provides a bank in and out security management method and system based on video monitoring behavior analysis, relates to the technical field of video analysis, and the method comprises the steps of: deploying a polarization imaging device in a bank security monitoring area, collecting original polarization images in real time; calculating Stokes parameters, deriving linear polarization degree and polarization angle, and constructing a polarization feature map; inputting the original polarization images and the polarization feature map into a pre-trained polarization decoupling network, decomposing the images into reflection layer images and transmission layer images; extracting the transmission layer images, performing target detection, human skeleton key point extraction and time sequence behavior recognition, and generating behavior analysis results; and outputting a security alarm signal. The application solves the technical problem that the prior art mainly relies on traditional cameras and image processing algorithms for personnel identification and behavior analysis, ignores the processing of reflected light on images, and causes some areas or personnel to be missed, thereby affecting the security protection level of the bank.

To provide an image for revealing an appearance defect in inspection of appearance of a λ / 4 wavelength member.SOLUTION: An inspection system for inspecting appearance of a λ / 4 wavelength member includes: a light emitting section for emitting light; a light reception section for receiving light that is emitted from the light emitting section, arrives at the λ / 4 wavelength member via a polarization member at an angle of 45° or 135° to a polarization angle relative to a slow axis of the λ / 4 wavelength member, and is transmitted through the λ / 4 wavelength member, and is separated in directions of 0° and 90° relative to the polarization angle of the polarization member; and an image generation section for calculating s1 composing a Stokes parameter by using a reception signal outputted from the light reception section, and generating an image on the basis of s1 composing the calculated Stokes parameter.SELECTED DRAWING: Figure 3

The present invention discloses a descattering imaging method based on polarization common-mode dual suppression and a related device. The method utilizes the principle that polarization common-mode suppression is generated by orthogonal polarization directions when the target area similarity is the highest to determine the polarization angle of the target reflected light; utilizes the principle that polarization common-mode suppression is generated by orthogonal polarization directions when the background area similarity is the highest to determine the polarization angle of the backscattered light; determines the polarization difference map of the backscattered light based on the orthogonal polarization image with the highest similarity in the target area; determines the polarization difference map of the target reflected light based on the orthogonal polarization image with the highest similarity in the background area; based on the calculation rule of polarization Stokes parameters, utilizes the polarization angle of the target reflected light, the polarization angle of the backscattered light, the polarization difference map of the target reflected light, and the polarization difference map of the backscattered light to determine the polarization portion of the backscattered light and the polarization portion of the target reflected light; selects any group of orthogonal polarization images, obtains the optimal non-polarized portion of the backscattered light through background area sampling and fitting and image quality feedback iterative optimization; utilizes the polarized portion of the backscattered light and the optimal non-polarized portion of the backscattered light to remove all noise light. The present invention is applicable to defogging scenarios where multiple types of targets coexist, significantly improves image contrast, and has stronger environmental adaptability.

The application discloses a kind of full solid, snapshot type full stokes parameter measurement and imaging enhanced sensor device, including microlens array module, liquid crystal phase modulation module, polarization grating array module and image sensor module.Microlens array module is composed of many small lens two-dimensional arrangement, focusing on the photodiode of each pixel on incident light.Liquid crystal phase modulation module is composed of two high-speed liquid crystal variable phase retarder, realize the polarization state of incident light active phase modulation.Polarization grating array module only needs single shooting to obtain four polarization directions of polarized light information.Image sensor module calculates the full stokes parameter polarization characteristics of incident light.The application only needs single exposure to realize the full polarization information measurement of incident light, and after completing measurement, it turns into polarization enhancement mode, greatly improves the imaging efficiency of sensor in weak contrast target detection and other dark light scene.

The application discloses a combined optical detection method for distinguishing water mist and smoke based on circularly polarized light transmission characteristics, comprising the following steps: S1, generating circularly polarized light and collimating and shaping the same into a light beam to be incident into a sample chamber provided with a medium to be measured; S2, receiving transmitted light transmitted through the sample chamber and measuring Stokes parameters S0, S1, S2 and S3 in real time; S3, calculating a degree of polarization and an ellipticity of the transmitted light based on the Stokes parameters; S4, performing time series analysis on the degree of polarization and the ellipticity, and extracting mean value and standard deviation characteristics thereof respectively; S5, calculating a combined discriminant for distinguishing water mist and smoke based on the mean value and the standard deviation characteristics; and S6, determining whether the current medium is water mist or smoke according to a comparison result of the combined discriminant and a preset threshold value. The application can realize high-precision distinction between water mist and smoke by combined analysis of time variation characteristics of the degree of polarization and the ellipticity based on circularly polarized light transmission characteristics.

The invention discloses an image defogging method combining dark channel statistics and polarization degree constraint. The method is suitable for image enhancement and visibility improvement in a complex smog scene. According to the method, images of five wave bands in different polarization states in the same scene are collected through a polarization camera, Stokes parameters are calculated to obtain polarization degree and polarization angle information, and then atmospheric scattered light and object reflected light are distinguished. When the atmospheric light is estimated, the interference of a bright object is effectively avoided by combining the brightness and the polarization degree of a single-channel grey-scale map; in transmissivity estimation, a self-adaptive fusion strategy is provided, dark channel statistical characteristics and a polarization physical model are combined, and transmissivity estimation weight is adjusted in a self-adaptive mode according to regional polarization degree difference. And finally, realizing image restoration based on an atmospheric scattering model, and remarkably improving the information content and visual recognition effect of the defogged image by combining a multispectral false color fusion technology. Through organic combination of polarization defogging and multispectral enhancement, a complete technical scheme from image quality recovery to information depth extraction is formed, clear and information-rich image data can still be provided under severe weather conditions, and the method has important practical application value.

The application provides a complex precision part defect detection method and system based on optical detection, and belongs to the technical field of defect detection. The method comprises the following steps: dividing the detection surface of a complex precision part to be detected into a plurality of sub-aperture regions, and obtaining a corresponding backscattering image sequence; converting each backscattering image into a corresponding Stokes parameter image, and extracting an optical rotation angle parameter and a depolarization parameter; constructing a polarization state feature map with the optical rotation angle parameter as the abscissa and the depolarization parameter as the ordinate, and identifying a polarization state consistency region; spatially registering and splicing the polarization state consistency regions corresponding to adjacent sub-aperture regions to identify the polarization state evolution path corresponding to the spatial position points; and identifying the defect region of the complex precision part to be detected according to the polarization state evolution path of each spatial position point. The technical scheme provided by the application can realize accurate detection of defects of the complex precision part to be detected under the influence of abnormal polarization disturbance.

The application provides a multi-dimensional perception-oriented super-resolution imaging method and system. The method comprises the following steps: acquiring an original low-resolution polarization mosaic image collected by a defocus plane polarization camera, and calculating a first Stokes parameter and a second Stokes parameter according to light intensity components of multiple polarization directions contained in the original low-resolution polarization mosaic image; inputting the original low-resolution polarization mosaic image, the first Stokes parameter and the second Stokes parameter into a pre-trained polarization reconstruction model to obtain a high-resolution polarization image subjected to super-resolution reconstruction; wherein the pre-trained polarization reconstruction model is constructed through a multi-scale large kernel attention mechanism; the multi-scale large kernel attention mechanism is arranged at an encoder layer of the pre-trained polarization reconstruction model and is used for global feature modeling. Based on this, the super-resolution reconstruction of the polarization image is realized, which is physically faithful, efficient in feature extraction and strong in robustness.

The invention discloses an algae community detection method and system based on polarized light characteristics, and relates to the field of water environment monitoring, and the method comprises the steps: obtaining an algae single particle polarization scattering signal through multiple observation angles, resolving a Stokes parameter, further extracting a polarization phase to construct a polarization phase divergence matrix, and carrying out the structural representation of the polarization difference between the angles; meanwhile, a morphological complexity index is obtained through multi-angle scattering intensity statistics and is used for depicting scattering distribution characteristics; on the basis, a polarization-form coupling coefficient is provided, polarization phase differences of different angle combinations are subjected to weighted convergence and modulated by form complexity, and stable fusion of polarization information and form statistical information is achieved; and the coupling coefficients are subjected to statistical convergence in a time window to form an algal group cooperation index, so that unified output of single-particle species classification and community risk early warning is realized. Therefore, the distinction degree, the stability and the time sequence characterization capability of algae community detection are improved.

The application provides a kind of spatiotemporal modulation Fourier transform stokes polarization imaging spectrometer, including in turn along the direction of propagation of light beam: telescope system, polarization modulation system, converging system, polarization interference system and imaging system;Target scene emitted target light field is collimated into parallel light field in telescope system and is incident;Linearly polarized light field is obtained after collimated parallel light field is incident to polarization modulation system and is incident to converging system;Converging system is used to image linearly polarized light field to polarization interference system and produce superposition interference, form polarization interference imaging light field with specific optical path difference distribution characteristics and are incident to imaging system to obtain polarization interference image;By step scanning to target scene, obtain polarization interference image cube, by extracting each field of view corresponding interference order interference map, carry out stokes channel filtering and fourier transform, and then demodulate the spectral information of each stokes parameter of target light field.

The invention provides a complex amplitude imaging system based on a bifocal liquid crystal lens, and the system comprises a to-be-measured target complex amplitude light field which is located near a left-handed or right-handed circularly polarized light imaging object plane; the bifocal liquid crystal lens comprises a lens layer for providing a propagation phase required by lens imaging and a liquid crystal layer for providing a geometric phase required by left-handed and right-handed circularly polarized light separation; and the polarized photoelectric imaging unit is used for synchronously detecting polarized light intensity distribution along four different linear polarization directions on an image plane after imaging through the bifocus liquid crystal lens, and calculating polarization coding information containing a Stokes parameter based on the measured polarized light intensity distribution. On the basis, the invention further provides a complex amplitude reconstruction method based on the physical driving neural network, and complex amplitude reconstruction is achieved by substituting captured Stokes parameters and a forward physical imaging model into the neural network. According to the invention, the contradiction among the time resolution, the device simplicity and the reconstruction fidelity of the existing complex amplitude imaging system is solved.