1989 results about "Light field" patented technology

The present invention relates to a solar azimuth estimation method and system based on multi-channel feature enhancement and region-aware attention, belonging to the technical field of intelligent navigation for low-altitude economy unmanned systems. Aiming at the problem of decreased accuracy in solar azimuth estimation based on polarization images under complex cloud cover conditions, the present invention proposes a deep learning framework integrating multi-channel features and direction-aware attention. First, based on polarization light field information acquired by a division-of-focal-plane polarization camera, a three-channel composite input feature composed of a polarization intensity map, an adaptive threshold gradient map, and high-frequency residual edge information is constructed. Second, a ResNet backbone network embedded with a squeeze-and-excitation mechanism is adopted, and a direction-aware polarization attention module is introduced to achieve adaptive fusion of multi-scale features through luminance guidance, deep feature enhancement, and a gradient edge branch.

The invention discloses a visual combined infrared precast beam appearance defect detection method, and relates to the technical field of civil engineering structure detection and nondestructive testing, and the method comprises the following steps: establishing an illumination time sequence observation layer, collecting multi-dimensional optical parameters aiming at the surface of a precast beam, and generating a dynamic reflection fingerprint baseline; and performing coherent phase decomposition based on the dynamic reflection fingerprint baseline, separating the specular reflection signal from the material texture signal, and calibrating light spot track and intensity evolution data in the unified baseline. According to the method, an illumination time sequence observation layer is constructed to generate reflection fingerprints, coherent phase decomposition and anti-fact playback are combined, reflection interference is stripped, and crack boundaries are recovered; time coordinates are reconstructed through double-mirror-image anchor points, and crack evolution is accurately recovered; phase conjugate projection and light field traction are combined, a dynamic threshold optical fence is established, the exposure rhythm is controlled in a closed-loop mode, and precise detection of the defects of the precast beam is achieved.

The invention provides an intelligent pipe surface quality detection method and system based on machine vision, relates to the technical field of industrial automatic detection and machine vision, and aims to establish a pipe surface feature library and mark shape abnormal features. The method comprises the following steps: collecting an image of a pipe in a bright and dark composite light field, extracting gray and texture features after polarization filtering processing, reconstructing a three-dimensional point cloud covering a mortar layer and a concrete layer by matching a principal component analysis dimensionality reduction fusion feature set with a feature library, and converting the point cloud into a two-dimensional expansion graph through cylindrical projection; a mortar abnormal area and a concrete abnormal area are segmented, the hole volume is calculated through point cloud residual errors in the mortar area, and internal hollowing is detected in combination with acoustic vibration excitation and thermal response; the concrete area locates defects based on point cloud features; according to the sequence of the concrete covering process before the mortar covering process, a correlation model is constructed to match and coincide the defect sites, and the detection result is output, so that the detection automation degree and accuracy can be improved.

The invention discloses an optical imaging and coding hole technology fused optical imaging system and method, and aims to integrate scattered polarization components in a reflected light signal into coding light field data with clear layers by constructing a polarization coding modulation system, so as to highlight a coupling relationship among optical elements. A refocusing sequence and a focal plane chromatography technology are adopted, spatial geometric information and light intensity distribution characteristics of different depth layers are fully excavated, and a three-dimensional distribution rule of surface topography is disclosed; wavefront correction and deformable mirror control technologies are introduced, imaging parameters of an optical system are adjusted in a self-adaptive mode, and the application range of measurement precision is expanded; light intensity modulation analysis and phase unwrapping window processing are combined, the change trend of the surface curvature is depicted, and key feature points of morphology measurement are grasped; finally, multi-dimensional and multi-level optical measurement information is fused, three-dimensional measurement output with rich content and reliable precision is formed, and comprehensive and high-quality measurement technology resources can be provided for application scenes such as precision optical detection and surface quality evaluation.

The invention relates to the field of intelligent table lamps, and discloses an LED personalized eye protection lighting method based on AI learning, and the method comprises the steps: fusing the myopia degree manually input by a user, real-time ambient light intensity and desktop reflection characteristics, and generating an eye load adaptation matrix; performing cross-domain convolution recursion modeling on the eye load adaptation matrix, and constructing a user personalized visual tolerance tensor; based on the visual tolerance tensor, utilizing an adaptive threshold drift model to extract an illumination comfort trajectory, and identifying potential visual fatigue risk candidate points; mapping the potential asthenopia risk candidate points to an LED dimmable unit cluster, and performing iterative coupling optimization on brightness gradient, color temperature offset and an illumination incident angle to obtain light field adjustment solutions facing different myopia degrees; generating a non-uniform distributed control instruction among the brightness, the color temperature and the refresh frequency based on the light field adjustment solution; the method has the advantage of intelligently adjusting the light brightness and the color temperature by combining the myopia degree of the user and the ambient brightness.

The invention discloses a light field surface defect identification system and method based on multi-angle scattering, and relates to the field of optical image analysis. The system comprises a multi-angle scattered light field acquisition module and a defect intelligent identification module. The acquisition module obtains a hemispherical space scattered light field image of an optical element to be detected through one-time exposure of a collimation laser light source, a hemispherical dome and the like. The recognition module integrates a data preprocessing unit and an SFD-YOLO network, and on the basis of YOLOv11, the network replaces CBS in a shallow layer with a PSiam attention module to strengthen local significant feature perception, and replaces C3K2 in a deep layer with an OfficitMambaCSP module to strengthen global semantic modeling. The method comprises the steps of image acquisition, data set generation preprocessing, network training and defect identification. The problems that in the prior art, single-view-angle information is limited, and scattering data is insufficient in utilization are solved, Top1ACC reaches 95.6%, the parameter quantity is only 1.25 M, and the method is suitable for high-precision real-time detection of optical element defects.

The invention discloses an intermediate infrared polarization spectrum imaging method and device. The method comprises the following steps: carrying out joint coding on an intermediate infrared light beam carrying to-be-measured target space, spectrum and polarization information by adopting an intermediate infrared polarization spectrum modulator consisting of metasurface units which are arranged in an array and have non-correlation response characteristics; projecting the coding light field to a two-dimensional detector array to generate a two-dimensional coding image under single exposure; and decoding the two-dimensional coding image through a reconstruction unit so as to reconstruct and obtain a space-spectrum-polarization four-dimensional data cube of the target to be measured. The problem that polarization information cannot be rapidly obtained in the prior art is solved, target full information can be obtained under single exposure, and the system has the advantages of being high in imaging speed, simple in structure, easy to miniaturize and the like.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The invention discloses a new energy power grid probability harmonic load flow calculation method based on improved semi-invariant and Gram-Charlier series expansion. The new energy power grid probability harmonic load flow calculation method comprises the following steps: establishing a random variable probability model, a wind-light output model and a wind-light joint distribution model; secondly, considering the output correlation between wind and light fields, converting the wind and light combined distribution model based on a Copula function into independent variables by utilizing Rosenblatt conversion for calculation, then calculating each-order semi-invariant of load, photovoltaic output and wind power output according to the expected values of node voltage and branch power flow and a sensitivity matrix, and finally calculating the output correlation between the wind and light fields according to each order semi-invariant of the load, the photovoltaic output and the wind power output. The method comprises the following steps of: obtaining a state variable, further solving each-order semi-invariant form of the state variable and the branch power flow, and finally, obtaining a probability density function and a probability distribution function of harmonic voltage of each node by combining Gram-Charlier series expansion.

The invention relates to the technical field of monitoring light supplement adjustment, and discloses a monitoring light supplement automatic adjustment system based on ambient light detection. An ambient light dynamic sensing module of the system captures visible light and infrared spectrum components of a monitoring area in real time through a multispectral sensor array, constructs a light intensity distribution model in combination with illumination intensity historical data, and outputs a theoretical illumination distribution diagram; the spectral feature analysis module compares the theoretical distribution map with the actually measured light field data in a multi-dimensional manner, performs spectral deviation detection and generates a spectral difference feature tensor; the light supplement demand mapping module inputs the tensor into a space illumination analysis network, and generates a light supplement coverage demand thermodynamic diagram and calibrates the boundary of a low-illumination area in combination with a field angle of monitoring equipment and position coordinates of a light supplement lamp; and the self-adaptive light supplement strategy execution module starts a multi-band mixed light supplement mode for a high-demand area according to the thermodynamic diagram, and performs phase cooperative control on adjacent light supplement lamp groups. The system realizes dynamic and accurate adjustment of light supplement, and can effectively adapt to complex ambient light changes.

The invention relates to the technical field of machine vision detection, in particular to a surface defect detection method and system based on curved surface coding and multi-view fusion, and the method comprises the steps: constructing a curved surface coding illumination system, generating a coding light field, and projecting the coding light field to a target surface; synchronously acquiring reflection images of the coded light field through a multi-view imaging device, and obtaining a multi-dimensional view image data set; separating light components from the multi-dimensional view image data set, and extracting a defect feature set; performing multi-view information integration on the defect feature set to obtain comprehensive defect features; and performing defect judgment and parameter calculation on the target surface based on the comprehensive defect characteristics, and outputting a defect detection result. By adopting curved surface coding illumination and multi-view fusion, gradient information carried by a coding light field and multi-view imaging to supplement space details, accurate detection of surface and subsurface defects is realized, the adaptability to high-curvature and multi-reflection characteristic targets is improved, and the problem of insufficient detection precision of irregular reflective surface defects is solved.

The invention belongs to the technical field of intelligent operation and maintenance and automatic inspection of power equipment, and particularly discloses a power transformation and distribution station room inspection method and device based on multi-mode visual perception. The method comprises the following steps: controlling the intelligent inspection robot to move and synchronously acquiring visible light, infrared thermal imaging, partial discharge ultrasound and other multi-mode sensing data streams; generating an ultrasonic-guided enhanced infrared image, a power equipment structure map and an ambient light field distribution map through deep fusion in combination with ambient illumination parameters; and on the basis of the deeply fused information, generating a refined health state level of the power equipment, and finally automatically generating an inspection report conforming to the regulation. According to the invention, through deep cooperation and mutual verification of the multi-modal data, the perception robustness and diagnosis accuracy of early faults and abnormal states of equipment in a complex environment are improved, intelligent inspection from later judgment to beforehand prediction is realized, and the power supply safety of a power transformation and distribution station room is guaranteed.

The invention provides a photovoltaic panel arrangement method and system under the same wind and light field, and relates to the technical field of photovoltaic panels, and the method comprises the steps: obtaining fan parameters and a photovoltaic panel arrangement region; based on the fan parameters, shadow data of a photovoltaic panel arrangement area within a preset duration are obtained; establishing a mapping relation between the arrangement parameters of the photovoltaic panel and the generating capacity per unit area in the presence of shadow data; clustering the shadow regions to obtain a plurality of shadow clustering regions; determining optimized photovoltaic panel arrangement parameters of each shadow clustering region by combining the mapping relationship and taking maximization of the generating capacity per unit area as a target; and arranging the photovoltaic panels in each shadow clustering area according to the optimized photovoltaic panel arrangement parameters. The power generation loss and the hot spot effect caused by shielding are reduced, and land waste caused by large-scale distribution forbidding is avoided.

The invention discloses an image taking control method and device, equipment, a storage medium and a product, and relates to the technical field of wafer image taking, and the image taking control method comprises the steps: transferring a wafer to be subjected to image taking, of which the center alignment is completed at a wafer edge finder, to a defect detection platform through a wafer conveying fork; and in different target light fields, through different types of cameras in a preset visual range, preset coordinates are traversed on the defect detection platform, shooting is carried out in sequence, defect images are obtained, the target light fields comprise a bright field, a dark field and a PL field, and the defect images comprise surface defect features, scratch features and growth defect features. According to the method and the device, the wafer surface defects and the growth defects of the deep layer of the wafer can be shot, the scratch features can also be shot, relatively comprehensive defect features can be covered, and the image quality of the shot defect image is improved.

The invention relates to the technical field of optical metasurface and light field regulation and control, in particular to a light pressure multi-dimensional regulation and control method and device based on a metasurface microstructure array. The method comprises the following steps: designing and preparing a metasurface microstructure array, wherein the microstructure array is composed of a plurality of sub-wavelength scale three-dimensional microstructure units arranged on a dielectric substrate; surface plasmon resonance is excited by adjusting structural parameters of the three-dimensional microstructure units and adjusting working parameters of a light source acting on the microstructure array, and near-field localization and enhancement are achieved. And calculating, regulating and controlling the light pressure borne by the metasurface microstructure array based on the Maxwell stress tensor. The method can keep a remarkable light pressure enhancing effect in a wide spectrum range of 380-1300 nm, and is suitable for various material systems such as silver, gold and the like. The method can be applied to the fields of optical tweezers systems, optical control devices, precision measurement and the like, and has the advantages of flexible design, simplicity and convenience in preparation, high regulation and control precision and the like.

The invention discloses a digital twinborn intelligent travel management system and method, and relates to the technical field of travel interaction, and the method comprises the following steps: building a multi-projection unified phase baseline and energy distribution auditing model, carrying out the nanosecond-level synchronous sampling of the phase difference and brightness change curve of a plurality of projection light waves in a virtual-real superposition region, and carrying out the nanosecond-level synchronous sampling of the phase difference and brightness change curve of the multi-path projection light waves in the virtual-real superposition region; generating a corresponding initial light field energy coupling matrix; and constructing an interference trajectory inversion network based on the initial light field energy coupling matrix, and replaying the light wave superposition sequence by using a time inversion algorithm. According to the invention, accurate monitoring and active regulation and control of light field energy are realized through unifying a phase baseline and energy auditing, interference focusing and brightness mutation are effectively eliminated, and visual stability and immersion experience are improved; and energy self-adaptive balance and dynamic closed-loop control are realized through phase conjugate driving and spectrum inverse diffusion gating, so that safe operation of a light field and soft and stable brightness are ensured, and a comfortable and healthy digital twinborn travel light environment is created.

The invention relates to the technical field of automobile electronic control, discloses a control system of a three-dimensional interactive automobile atmosphere lamp, and aims at solving the problems that an existing atmosphere lamp is single in function, insufficient in space sense, poor in adaptability and poor in user experience. The system comprises a multi-mode sensing unit which collects environment, operation, passenger behavior and interaction instruction data in real time; the data fusion and situation analysis unit is used for preprocessing the fused data, identifying a prediction situation and generating a situation representation vector; the interaction intention recognition unit is used for analyzing gesture, voice and sight line information of the passenger and recognizing an interaction intention; the three-dimensional light field generation engine is used for dynamically generating a three-dimensional light effect scheme based on the situation representation and the interaction intention; and the distributed light-operated execution network drives the light units to realize a lighting effect scheme. According to the scheme, intelligent dynamic and humanized control over the light environment is achieved, and system intelligence, interaction experience and driving and riding comfort and safety are remarkably improved.

The invention discloses a low-divergence-angle narrow-linewidth high-power semiconductor laser. Relates to the technical field of semiconductor lasers, in particular to a low-divergence-angle narrow-linewidth high-power semiconductor laser. According to the invention, the parabolic waveguide structure is etched in the light field expansion area, and the metal reflector is introduced to realize a novel light field expansion and metal reflector integrated structure, and the transverse divergence angle of a laser mode is reduced through the expansion structure at the tail end of the waveguide. The laser comprises a laser gain area, a light field expansion area and a spectrum purification area at the tail of the light field expansion area. The laser gain region, the light field expansion region and the spectrum purification region at the tail part of the light field expansion region are made of the same laser epitaxial material in the longitudinal direction, the laser gain region is adjacent to the light field expansion region along the horizontal light emitting direction, and the light field expansion region is adjacent to the spectrum purification region at the tail part of the light field expansion region along the horizontal light emitting direction; the longitudinal direction is the direction from the substrate to the contact layer.

The invention relates to a self-adaptive sleep assisting method, system and device based on multi-mode perception and a medium. The method comprises the steps of performing seasonal correction based on latitude and longitude coordinates, constructing a dynamic rhythm curve, and obtaining user portrait data and real-time multi-source data; performing Kalman filtering fusion on the respiratory frequency signal and the vibration spectrum to generate a fused sleep staging result, performing classification processing on the original audio data, and generating a noise type label and duration; on the basis of the dynamic rhythm curve and a preset adjustment rate, calculating an upward light real-time parameter, and on the basis of the fused sleep staging result, the noise type label and the user portrait data, generating a downward light real-time parameter; and inputting the real-time parameters of the upper light and the real-time parameters of the lower light into a light field coupling model to calculate a light field distribution target value, and generating a light source driving instruction. According to the method, through multi-modal data perception, rhythm curve construction and light field cooperative regulation and control, the sleep staging precision, the light intervention suitability and the sleep assisting effect can be improved.

The invention relates to the technical field of laser shaping, in particular to a light spot shaping method and system based on a spatial light modulator, and the method comprises the steps: providing and expanding an incident laser beam in Gaussian distribution, and obtaining a collimated and expanded beam; irradiating an incident laser beam to a spatial light modulator, loading a preset phase modulation pattern to modulate a wavefront phase, and outputting a phase modulation beam; the phase modulation light beam is input into a 4f imaging system, a spatial light modulator is located on the front focal plane of a first lens, and the light beam forms a light field with target intensity distribution on the rear focal plane of a second lens after passing through the system; and the light field is focused on the surface of a workpiece to be processed through an objective lens to form a flat-topped light spot. According to the scheme, uniform light intensity distribution can be flexibly generated without replacing optical elements, the uniformity and utilization efficiency of laser energy in a machining area are remarkably improved, and the problem of material damage or insufficient edge machining caused by too strong center energy is effectively solved.

The invention provides a well drilling anti-interference communication system based on a VCSEL (Vertical Cavity Surface Emitting Laser), the VCSEL and a manufacturing method thereof, and the manufacturing method comprises the following steps: calculating the light field intensity distribution of a high-order transverse mode through an intrinsic mode expansion method and a Laguerre-Gaussian model based on the epitaxial structure parameters of a laser; determining a target area which begins to perform downward annular etching on the surface of the p-DBR layer, wherein the target area coincides with a light field intensity peak area of the high-order transverse mode; performing annular etching in the target area to form an annular groove, and etching at least seven pairs of p-DBR layers inwards in the groove; the communication system comprises a signal transmitting end arranged on the derrick side, and the signal transmitting end is provided with the vertical cavity surface emitting laser; the p-DBR region of the vertical cavity surface emitting laser is provided with an annular etching structure; the graded-index fluorinated plastic optical fiber is used as a transmission medium and is connected with the derrick side and the logging room side; and the optical signal receiving end is arranged at the logging room side and is used for receiving and converting the optical signal into an electric signal.

The invention relates to a defect detection device and method, computer equipment and a computer readable storage medium. The device comprises an imaging subsystem, a structured light illumination subsystem and a data fusion processing unit. The structured light illumination subsystem comprises a coupling device, and the coupling device is used for coupling an illumination light path of the structured light illumination subsystem into an imaging light path of the imaging subsystem; the imaging subsystem is used for synchronously acquiring a light field image of the tested sample under the condition that the structured light illumination subsystem projects the structured light to the tested sample, and the light field image comprises light field depth data and a structured light image; and the data fusion processing unit is used for fusing the light field depth data and the structured light image to reconstruct the three-dimensional morphology of the detected sample, and generating a defect detection result of the detected sample based on the three-dimensional morphology. By adopting the device, the reconstruction precision of the three-dimensional morphology can be improved, and tiny pit defects on the surface of a transparent / weak texture sample can be identified.

The present disclosure provides a method and system for overlay presentation of a skeletal image based on augmented reality, relating to the technical field of smart medical systems. The method includes obtaining fracture imaging data for a fracture region of a patient, the fracture imaging data including a CT image, an X-ray image, and a light-field image; parsing a ray model corresponding to the light-field image, the ray model providing spatial propagation information of a light in the fracture region of the patient; determining a multimodal fusion feature corresponding to the fracture imaging data based on the ray model and a feature fusion network; reconstructing a three-dimensional model of a fracture part based on the multimodal fusion feature; and aligning and calibrating the reconstructed three-dimensional model of the fracture part with the fracture region of the patient in an actual surgical scene.

Detailed camera systems and methods achieve rich light field sampling within limited cost and power constraints. Exemplary arrangements include designs for heterogeneous array cameras, including multifocal arrays, arrays matching depth of field to have uniform pixel density, array-aware focus, exposure and frame rate control, multispectral arrays, and multiscale arrays. One embodiment incorporates lens assemblies of two different types: a first type in which all lens elements move under control of a focus actuator, and a second type in which only some of the lens elements move under control of a focus actuator—the others are stationary. A great number of other features and arrangements are also detailed.

The invention discloses a diffraction neural network optical classification method and system based on dual-wavelength differential modulation, and relates to the technical field of optical calculation and optical information processing, and the method comprises the steps: S1, optimizing the phase distribution of a single diffraction layer through a deep learning back propagation algorithm; s2, loading a code corresponding to the input information through an input layer; s3, introducing two coherent light sources with different wavelengths to irradiate the codes in sequence or in parallel; s4, after the single diffraction layer modulates the input light field, an output light field is detected through a detector; and S5, performing differential normalization operation on the light intensities of different wavelengths to obtain a discrimination signal Sc of each category, and completing optical classification. According to the invention, the adjustment error caused by a multilayer device is eliminated through a single-layer diffraction structure, a dual-wavelength differential detection mechanism is introduced, and the non-negativity limitation of a light intensity signal is broken through, so that the classification precision and robustness are remarkably improved while the structure simplification is ensured, and the method has important engineering value and application prospect.

The invention discloses a telescope parameter efficient optimization method and system based on a Bayesian algorithm and a fluctuation optical TTL coupling noise calculation model, and aims to solve the problem that a fluctuation optical high-precision calculation module is used for improving TTL coupling noise calculation precision in an existing telescope parameter optimization method. And due to frequent calling of a high-time-consumption module, the optimization time is sharply increased, and the efficient design requirement of a space gravitational wave detection task is difficult to meet. According to the method, on the basis of the principle of a Bayesian optimization algorithm, potential optimal to-be-evaluated telescope parameters are searched through an agent model, a collection function and the optimization function of Zermarkes software; and calculating TTL coupling noise of the telescope to be evaluated by combining a light field propagation calculation method based on a wave optics theory with a light field-phase resolving method, carrying out iterative optimization on telescope parameters, and outputting optimal TTL coupling noise and optimal telescope optical parameters.

The invention discloses a hollow-core fiber fusion coupling loss evaluation method and device, and the method comprises the steps: firstly collecting a cross-section image of a first hollow-core fiber fusion end, enabling laser to pass through the cross-section image, then collecting a light field distribution image of emergent light of the fusion end, and carrying out the fitting, thereby obtaining a nested tube circumcircle and a light field fitting regular polygon; welding the two hollow-core optical fibers, and acquiring a cross-section image of a non-welding end of the second hollow-core optical fiber and a light field distribution image after the laser is introduced to complete the same fitting; and finally, inputting the related geometric parameters before and after welding into a preset evaluation model to obtain welding loss. According to the invention, accurate and real-time evaluation of the welding loss is realized.

The embodiment of the invention provides a touch sensing system and method, electronic equipment, a storage medium and a program product. The touch sensing system comprises a contact assembly, a projection assembly, a collection assembly and a processing assembly, and is configured to be capable of being in contact with an external object and generating deformation; the projection assembly is configured to project an active light field with a time modulation characteristic to a first surface of the contact assembly, the active light field is projected on the first surface to form a plurality of pattern areas, the light intensity of adjacent pattern areas changes based on different time sequence codes, and the first surface is opposite to a second surface, making contact with an external object, of the contact assembly; the acquisition assembly comprises a plurality of acquisition units arranged in an array, and is configured to acquire a plurality of pattern areas and output a time stamp acquisition data sequence.

The invention provides an end-to-end multi-dimensional holographic metasurface design method and system and electronic equipment. The method comprises the steps of polarization dimension expansion construction of a super-atom library, continuous microprocessing of the super-atom library, multi-dimensional randomization construction of an initial metasurface, holographic image reconstruction of a dual-polarization light field, gradient solution and optimization of multi-dimensional parameters, and design of a polarization sensitive loss function. And dynamically adjusting the adaptive weight of the channel and carrying out full-dimensional end-to-end reverse optimization. According to the method, the direct multi-dimensional mapping relation between the metasurface and the reconstructed image is established, multi-dimensional parameter updating of the metasurface is guided through the loss function, dependence on traditional hologram calculation is thoroughly eliminated, and a multi-dimensional design link is greatly simplified. Meanwhile, the spatial dimension distribution of the metasurface is accurately optimized, multi-wavelength and multi-channel multi-dimensional holographic image coding can be completed only by adopting a simple rectangular structure, dependence on a complex super-atom structure is not needed, and high performance of multi-dimensional information processing is ensured while the manufacturing complexity is reduced.

The invention relates to the technical field of water environment remote sensing monitoring, solves the technical problem of systematic overestimation or underestimation under the condition of algae bloom outbreak or strong stratification due to the fact that a water body is regarded as an optical uniform monolayer parameter in a traditional method, and particularly relates to a stratified light field correction chlorophyll-a remote sensing inversion method and system for an eutrophic lake. Performing vertical type identification and three-layer layering by using multispectral / hyperspectral remote sensing reflectivity, a synchronous chlorophyll-a vertical profile and a diffusion attenuation coefficient, calculating light field weight and light path weighted concentration of each layer, constructing a layered light field correction coefficient, performing layered light field correction on the remote sensing reflectivity, and establishing an empirical chlorophyll-a inversion relationship; and generating a chlorophyll-a spatial distribution map and an algae bloom risk map. According to the method, the layered light field correction coefficient with clear physical significance is constructed to correct the water surface remote sensing reflectivity, so that the inversion precision and robustness under strong layering and complex optical conditions are improved.