664 results about "Short wave infrared" patented technology

The invention discloses an artificial intelligence machine vision image acquisition system, and the system comprises a multi-mode perception layer which integrates a self-adaptive optical module, inhibits metal reflection, captures a visible light to short wave infrared image, and captures a motion edge; the dynamic adaptive layer adopts an illumination compensation and motion compensation module to dynamically adjust camera parameters and micro displacement compensation, feeds back an illumination trend, outputs a motion vector to the cognitive layer, generates a confrontation sample through a GAN, simulates virtual defects in combination with a physical engine, and expands training data; the cognitive reasoning layer is used for deploying a dynamic routing network, distributing computing resources according to image complexity and optimizing feature extraction efficiency; reducing data deviation through anti-fact analysis, and generating a thermodynamic diagram to explain a detection basis; and the collaborative decision-making layer is used for rapidly screening samples by edge nodes, training a global model by cloud aggregated data, automatically triggering manual rechecking when the confidence coefficient of the model is insufficient, synchronously optimizing a training set and a causal reasoning module by a rechecking result, and improving the labeling efficiency through AR assistance.

The invention relates to the technical field of machine learning, in particular to a grain classification and recognition method and system based on image analysis, and the method comprises the following steps: obtaining grain particle image data, calculating a gray histogram and a gradient change rate, calling a gray co-occurrence matrix to extract grain particle texture density, and scanning a sliding window to obtain local feature parameters of grain particles. According to the method, through combined analysis of a gray level histogram and a gradient change rate, dynamic extraction of particle textures through a sliding window, enhancement of complex surface feature capture, normalization of contrast and direction consistency parameters, construction of weighted feature vectors, dynamic correction of variance contribution degree and suppression of environmental interference, and fusion of near-infrared and short-wave infrared reflectivity changes, the near-infrared and short-wave infrared reflectance change is improved. And quantifying the mean value and peak-to-valley ratio of spectrum difference values, matching visible light characteristics to verify multi-dimensional constraints, constructing a spectrum-texture matrix by local reflectivity rate and gradient change rate, and synchronously evaluating global similarity and spatial distribution difference by adopting Euclidean distance and local offset double-layer matching.

The invention discloses a display screen dead pixel fault prediction detection method and system. The method comprises the following steps: collecting a visible light image, a short wave infrared image, an ultraviolet fluorescence image, a driving current time sequence signal and surface temperature distribution data of a display screen; performing dynamic noise injection and cross-modal alignment on the data to generate a preprocessed multi-modal data set; inputting the preprocessed multi-modal data set into a space-time fusion network, extracting space-time correlation characteristics in a dead pixel diffusion process through the space-time fusion network, and generating a pixel-level dead pixel mask of a current frame and a diffusion probability thermodynamic diagram of a future time period based on the space-time correlation characteristics; and according to the dead pixel mask and the diffusion probability thermodynamic diagram, dynamically adjusting detection parameters to adapt to target equipment, and outputting a probabilistic diagnosis result of dead pixel causes in combination with physical relevance of multi-modal data.

The invention relates to the technical field of regulating valve monitoring, in particular to a regulating valve opening degree monitoring method and system based on image recognition, and the method comprises the following steps: S1, constructing a composite optical mark: machining annular grooves and longitudinal convex ridges which are distributed in a staggered manner on the surface of a valve rod to form a composite mark belt; s2, anti-interference stereo imaging: collecting visible light and short wave infrared images to generate a fusion point cloud set; s3, dynamic shielding compensation: generating a three-dimensional point cloud model of a complete composite marking band; s4, thermal expansion decoupling calculation: visual displacement errors caused by thermal expansion are eliminated; and S5, time-space domain closed-loop calibration: reversely reckoning the opening value by using the structured light three-dimensional coordinate to carry out cross validation. According to the invention, high-precision, high-robustness and verifiability monitoring of the opening degree of the regulating valve is realized, and the measurement stability and engineering applicability under complex working conditions are effectively improved.

The invention discloses a large-aperture three-waveband integrated optical system, and solves the technical problem that an existing multi-waveband imaging system is large in size and weight. The optical system comprises a main reflector, a first spectrum spectroscope, a first folding-axis mirror, a second folding-axis mirror, a second spectrum spectroscope, a visible light optical unit, a short-wave optical unit, a third folding-axis mirror and a medium-wave optical unit. Wherein the main reflecting mirror, the first spectrum spectroscope, the first folding-axis mirror, the second folding-axis mirror, the second spectrum spectroscope and the visible light optical unit form a visible light optical system for receiving visible light beams; the main reflecting mirror, the first spectrum spectroscope, the first folding-axis mirror, the second folding-axis mirror, the second spectrum spectroscope and the short-wave optical unit form a short-wave infrared optical system for receiving short-wave infrared light beams; the main reflector, the first spectrum spectroscope, the third folding-axis mirror and the medium-wave optical unit form a medium-wave infrared optical system to receive medium-wave infrared beams. The optical system adopts a modular design and is high in integration level.

The invention discloses a photovoltaic module surface defect online detection method based on multi-modal image fusion, and relates to the technical field of photovoltaic module detection.The method comprises the steps that a visible light line-scan digital camera, a short-wave infrared camera, an EL line-scan digital camera and a laser speckle imaging module are installed to collect real-time data, an optical image is subjected to dynamic window median filtering, and the surface defect of the photovoltaic module is obtained; the method comprises the following steps: carrying out time moving average combined dynamic threshold segmentation on an infrared image and an EL image, carrying out image-guided outlier filtering on 3D point cloud data, judging a pixel defect type based on gray-temperature correlation and calculating a fusion weight, respectively inputting the optical image, the infrared image, the EL image and 3D point cloud into GhostNet, lightweight ViT, CNN and PointNet-Lite to extract features, and carrying out image fusion on the 3D point cloud data. And after global average pooling and splicing, inputting into a channel attention module to generate a modal weight, and after weighted fusion, obtaining a defect type through a full connection layer. According to the invention, the accuracy of defect detection is effectively improved.

The invention discloses a three-band common-caliber multifunctional optical system. Belongs to the technical field of optical imaging and particularly relates to the technical field of multiband common-aperture optical systems. The problem that integration, multi-functionalization and miniaturization cannot be achieved at the same time through an existing multi-band common-caliber optical system is solved. The three-band common-caliber multifunctional optical system comprises a primary mirror L1, a secondary mirror L2, a multi-band compensation mirror group L3, a first reflecting mirror L4, a first spectroscope L5, a second reflecting mirror L6, a medium-wave infrared mirror group L7, a third reflecting mirror L8, a laser and short-wave infrared common mirror group L9, a second spectroscope L10, a laser emission mirror group L11, an optical fiber light source S1 and a short-wave infrared mirror group L12. The system comprises an imaging light path and a laser emission light path.

The invention relates to a visible light / short-wave infrared dual-band common-caliber optical system, which comprises a common-caliber part, a plane beam splitter, a visible light channel subsystem and a short-wave infrared channel subsystem, and is characterized in that the common-caliber part is positioned at the foremost end of the optical system and consists of a primary reflector and a secondary reflector which are coaxially arranged; the plane beam splitter is located on a light path behind the secondary reflector, full-wave-band light from an object side is reflected by the primary reflector and the secondary reflector in sequence, then reaches the plane beam splitter to be split, and then enters the visible light channel subsystem and the short-wave infrared channel subsystem to be imaged in different wave bands, and the optical system achieves dual-wave-band common caliber. According to the invention, the design of long focal length and large aperture of the dual-band system is realized, the target detection / identification capability of the system is improved, the system has the advantages of high spatial resolution, long operating distance and high identification probability, meanwhile, the system structure is effectively simplified, the system volume is reduced, the installation and adjustment difficulty is reduced, and a relatively low obscuration ratio and relatively high imaging quality are realized.

A short-wave infrared photothermal (SWIP) microscopy system and method for vibrational imaging of a sample generates shortwave infrared excitation light probe light. The excitation light and the probe light are combined to generate a combined beam, which is focused to generate a focused combined beam, which is directed onto the sample to obtain a SWIP signal generated by absorption-induced thermo-optic selective heating of the sample. The SWIP signal is collected through an aperture in a condenser and detected.

The invention provides an imperfect soybean hyperspectral imaging classification method based on deep learning. Efficient and accurate classification is realized by fusing spectrum and image features. Acquiring spectrum and image data by using a hyperspectral imaging system; the data quality is improved through a preprocessing method; and constructing a dual-channel feature fusion model, and reinforcing key feature extraction in combination with an attention mechanism. According to the method, the classification precision of 95.13% and 94.00% in the visible light-near infrared band and the short wave infrared band is achieved, and compared with a traditional support vector machine and a convolutional neural network method, the classification precision is remarkably improved. The model deeply digs spectral image features through a deep learning network, analyzes the association between the spectral image features and soybean quality, and enhances the robustness and generalization ability of the model. The method has the advantages of being high in precision, rapid in detection, high in adaptability and the like, is suitable for different varieties and large-scale detection scenes, and provides an efficient solution for agricultural product quality monitoring, automatic sorting and agricultural scientific research.

The invention discloses a visible light and short wave infrared common-aperture optical system which is used for solving the technical problem that an existing multi-band common-aperture optical system cannot meet the detection requirements of large view field, high resolution and high sensitivity at the same time. The optical system comprises a visible light optical system and a short-wave infrared optical system, and a primary reflector, a secondary reflector, a beam splitter prism, a visible light relay lens group and a first imaging unit jointly form the visible light optical system; and the primary reflector, the secondary reflector, the beam splitter prism, the short-wave infrared image space telecentric relay lens group, the view field divider and the N second imaging units jointly form a short-wave infrared optical system. The optical system disclosed by the invention shares the primary reflector and the secondary reflector, so that the focal length of the optical system is increased, and the requirement of high resolution is met; and meanwhile, the short-wave infrared optical system adopts the view field divider and N second imaging units, and the large-view-field and high-sensitivity infrared detection requirements of the optical system on a dark and weak target are met through splicing of N paths of view fields.

The invention belongs to the technical field of oil stain detection, and particularly relates to a water surface oil stain detection method, system and equipment, the water surface oil stain detection system comprises a flexible circuit board FPC, an InGaAs infrared sensor, an infrared narrow-band filter and an optical lens, light enters a visible light camera and the optical lens through an external lens, the visible light camera collects visible light images, and the visible light images are transmitted to the InGaAs infrared sensor; the optical lens focuses a light beam, then light with a specific wavelength is screened out through the near-infrared narrow-band filter, the screened light is received by the InGaAs infrared sensor, and the InGaAs infrared sensor is connected with the FPC; the method has the advantages that visible light imaging and short wave infrared spectrum analysis technologies are ingeniously fused, so that the accuracy and the reliability of oil stain detection are remarkably improved. Under the current background that environmental protection and water resource management are increasingly severe, powerful technical support is undoubtedly provided for water surface pollution monitoring.

The invention relates to the technical field of zirconia ceramic sintering, and discloses a zirconia ceramic microwave single-die-cavity rapid sintering system and an intelligent temperature control method.The system comprises a high-temperature-resistant metal cavity, a microwave generation unit, a temperature detection and control unit, a coil base assembly and an auxiliary structure, and centralized control is achieved through an intelligent touch control computer. A microwave single-mode resonance mode is adopted, a silicon carbide wave absorbing layer is used for enhancing microwave absorption, materials are evenly heated from inside to outside, an intelligent temperature control method is used for monitoring the temperature in real time based on a short-wave infrared thermometer, a PI D control algorithm is combined, the power of a magnetron is dynamically adjusted through an adjustable power source, the temperature control precision reaches + / -2 DEG C, and the temperature control precision reaches + / -2 DEG C; the problems of non-uniform temperature, high energy consumption, high rejection rate, long sintering time and the like in a traditional zirconia ceramic sintering process are effectively solved, the production efficiency can be greatly improved, the cost is reduced, the product quality is improved, the equipment also supports multiple process modes, and diversified production requirements are met.

The invention discloses a farmland soil moisture content real-time surveying system and method based on unmanned aerial vehicle multispectral imaging. The method comprises the steps that multispectral sensor parameters are configured, and an unmanned aerial vehicle flight scanning path is planned; a space coordinate system and time synchronization mechanism is established, and high-precision positioning and time synchronization are achieved; collecting and calibrating visible light, near-infrared and short-wave infrared original image data to form a spectral signal set; calculating an image signal-to-noise ratio, screening a low-quality image, and executing noise suppression; extracting timestamp information from the suppressed image, performing spatial positioning, and establishing a spatial corresponding relation database; calculating time synchronization precision and performing image correction; evaluating the spatial resolution according to the distortion coefficient; calculating a comprehensive quality parameter, comparing the comprehensive quality parameter with a threshold value, and obtaining a soil moisture content distribution parameter when a condition is met; a farmland moisture state map is generated, partition marking is carried out according to a multi-level standard, a monitoring result is output, and high-precision and real-time monitoring of the farmland soil moisture content is achieved.

The invention relates to the technical field of adaptive optics, and particularly provides a wavefront detection system for a dark and weak target under a strong sky background, the wavefront detection system comprises a Shack-Hartmann wavefront sensor system and a wavefront detection processing unit, the Shack-Hartmann wavefront sensor system carries out wavefront detection on a short wave infrared band of 1.3-1.7 [mu] m, and the wavefront detection processing unit carries out wavefront detection on the short wave infrared band of 1.3-1.7 [mu] m. And the wavefront detection processing unit corrects a sub-aperture image obtained by detection through a weighted self-threshold local contrast algorithm, performs self-threshold operation on pixels in a center unit according to a gray scale ratio weight of the center unit and a background unit of the sub-aperture image, introduces an energy weight to eliminate PNHB noise, and reconstructs a centroid of the sub-aperture image. According to the invention, a Shack-Hartmann wavefront sensor system is applied to a short-wave infrared band, so that a sky background spectrum is effectively blocked, the target brightness is ensured, background light radiation photons received by a detector are reduced to the greatest extent, various noises and background interferences are inhibited by optimizing a threshold algorithm, and the wavefront detection precision is remarkably improved.

The invention relates to a microscope system, in particular to a confocal microscope system of a short-wave infrared band. The system comprises a bright / dark field microscopy subsystem, a photon emission microscopy subsystem, a short wave infrared laser scanning confocal microscopy subsystem, a fluorescence confocal microscopy subsystem and a control module. According to the system provided by the invention, the short-wave infrared fluorescence lifetime curve can be obtained through the electro-luminescence emission and / or photoluminescence emission of the semiconductor device in the integrated circuit, so that the defect type of the semiconductor can be judged. Besides, the system adopts a multi-subsystem optical path multiplexing structure in structural design, short-wave infrared fluorescence generated by exciting a defect or a failure point is collected while observation is facilitated, high integration level is achieved, and observation, positioning and failure analysis of the defect or the failure point can be achieved only by using a single system provided by the invention.

The invention discloses an ultra-wide-spectrum endoscopic imaging device capable of being used for short-wave infrared fluorescence imaging, which is used for in-vivo minimally invasive imaging and comprises an illumination module, a wide-spectrum image transmission module, an imaging module and an image processing module. The illumination module consists of a light source and a light guide optical fiber, and is used for generating illumination light from ultraviolet to short wave infrared band and transmitting the illumination light to the wide-spectrum image transmission module; the wide-spectrum image transmission module consists of a few-interface optical imaging channel and a light guide illumination channel, and is used for illuminating an imaging target, exciting target fluorescence and collecting image signals from ultraviolet to short-wave infrared bands; the imaging module is composed of an optical filter and an imaging camera, and the imaging camera can be a wide spectral response image sensor or can be formed by combining cameras working in different wavebands and is used for converting optical images in different wavebands into image data; and the image processing module is used for registering and fusing image data of different wavebands in real time and displaying the image data.

The invention provides a visible light and short wave infrared fluorescent endoscopic imaging system and method, and belongs to the technical field of fluorescent endoscopic imaging, and the system comprises an endoscope which is used for guiding a light signal into a position needing to be checked and collecting a light signal reflected or transmitted from a target tissue; a light source; the light source adopts a multimode light source and is connected with the endoscope through an optical fiber; a camera module; the camera module is connected with the endoscope through the optical bayonet, and the camera module can receive optical signals output by the endoscope and convert the optical signals into image information; and the controller is in control connection with the light source, the camera module and the display, the camera module transmits the image information into the controller for processing, and the display displays the image information processed by the controller. By fusing the visible light imaging mode and the short wave infrared fluorescence imaging mode, surface details and deep structure information of the tissue can be captured at the same time, and the high-resolution and high-definition imaging effect is achieved.

The invention provides a short-wave infrared detector digital alloy material and a preparation process thereof. The preparation process comprises the following steps: growing a GaSb buffer layer on the surface of an n-type GaSb substrate; starting a first In furnace, and growing an InAs layer on the surface of the GaSb buffer layer in cooperation with an As beam; starting a second In furnace, and growing a quaternary solid solution layer matched with a GaSb buffer layer lattice on the surface of the InAs layer in cooperation with the Ga furnace and the AsSb beam; and alternately growing an InAs layer and a quaternary solid solution layer on the surface of the quaternary solid solution layer to generate a superlattice structure until the total thickness of the superlattice structure reaches a set target thickness, thereby obtaining the digital alloy material. According to the digital alloy material for the short-wave infrared detector and the preparation technology of the digital alloy material, the short-wave infrared detector can be expanded to the wave band ranging from 2.4 micrometers to 2.8 micrometers at the 50% cut-off wavelength.

The invention relates to the technical field of vegetation root system nondestructive testing, in particular to a multispectral vegetation root system identification system and method based on a differentiable physical engine, and the system comprises a multispectral LiDAR module which is used for transmitting near-infrared laser and short-wave infrared laser, scanning a target area, obtaining dual-wavelength reflectivity data, and determining the vegetation root system according to the dual-wavelength reflectivity data; generating a reflectivity ratio matrix by adopting a reflectivity ratio classification model; the differentiable physical engine is used for quantizing the dynamic relationship between the vegetation root growth rate and the soil resistance by adopting a coupling model according to the reflectivity ratio matrix, generating a physical model and updating the physical model at a preset time interval; and the data processing and three-dimensional modeling module is used for generating a three-dimensional root system model and a health assessment result according to the reflectivity ratio matrix and the physical model, and outputting the three-dimensional root system model and the health assessment result. According to the scheme, soil penetration and root system and foreign matter distinguishing can be carried out, the vegetation native environment is not damaged, dynamic monitoring analysis is carried out, and the accuracy of recognition analysis is improved.

The invention discloses a design method of a short-wave infrared hyperspectral detector based on a metasurface structure, and belongs to the technical field of micro-nano devices. The method comprises the following steps: selecting a substrate and a regulating material of the metasurface; constructing a short-wave infrared metasurface transmissivity database; selecting an optimal metasurface array from the shortwave infrared metasurface transmissivity database by adopting a lowest correlation sampling method; carrying out fine machining error analysis on the selected optimal metasurface array; an alignment mark position is designed, and unified patch packaging is carried out; and carrying out spectrum calibration and data acquisition on the packaged device, carrying out calculation spectrum reconstruction according to the obtained data, and finally obtaining high-space and high-spectral-resolution short-wave infrared spectrum information, thereby completing the design of the integrated short-wave infrared hyperspectral detector based on the metasurface structure. According to the method, the metasurface array optimization process is improved, and the metasurface structure with the lowest correlation is screened out, so that the imaging quality is improved.

The invention discloses a high and cold slope disaster body segmentation method fusing optical and SAR images, and the method comprises the following steps: 1, carrying out the snow coverage normalization processing based on the visible light green light wave band and the short wave infrared wave band of an optical image, and generating an ice and snow mask through an expectation maximization algorithm and a Gaussian mixture model; 2, preprocessing the optical image and the SAR image; step 3, constructing a high and cold slope disaster body segmentation model based on a Transform network; 4, training the segmentation model by using Dice loss and cross entropy loss in a combined manner, and freezing parameters of an image encoder in the training process; and step 5, inputting the high and cold slope remote sensing image into the trained segmentation model, and outputting a segmentation result of the slope disaster body by the segmentation model. According to the method, the problems of large ice and snow interference and poor multi-source data collaboration in high and cold slope disaster body segmentation are solved, and the segmentation precision and the engineering applicability are improved.

The invention discloses a compact coaxial turn-back type three-waveband multifunctional common-aperture optical system. Belongs to the technical field of photoelectricity, and particularly relates to the technical field of compact coaxial turn-back type three-waveband common-caliber photoelectricity. The problem that an existing aperture-dividing type optical system is difficult to miniaturize and light and has chromatic aberration is solved. The device comprises a coaxial turn-back type afocal objective lens, a laser emission light path, a short-wave imaging light path and a medium-wave imaging light path, a laser beam emitted by a laser emission light path is emitted to a target through a coaxial turn-back type afocal objective lens, the target reflects the laser beam and a short-wave infrared beam to the coaxial turn-back type afocal objective lens, and meanwhile, the target radiates a medium-wave infrared beam to the coaxial turn-back type afocal objective lens; the coaxial turn-back type afocal objective reflects the laser beam and the short-wave infrared beam to the short-wave imaging light path for imaging, and the coaxial turn-back type afocal objective reflects the medium-wave infrared beam to the medium-wave imaging light path for imaging.

The invention discloses a compact off-axis reflection type three-waveband multifunctional common-caliber optical system. Belongs to the technical field of photoelectricity, and particularly relates to the technical field of compact off-axis reflection type three-waveband common-caliber photoelectricity. The laser, short-wave infrared and medium-wave infrared common aperture and laser emission and receiving integrated optical design are realized, and the target detection, positioning aiming and laser guiding performance of the system is improved. The system comprises an off-axis reflection type afocal objective lens, a laser emission light path, a short-wave imaging light path and a medium-wave imaging light path, a laser beam emitted by a laser emission light path is emitted to a target through an off-axis reflection type afocal objective lens, the target reflects the laser beam and a short-wave infrared beam to the off-axis reflection type afocal objective lens, and meanwhile, the target radiates a medium-wave infrared beam to the off-axis reflection type afocal objective lens; the off-axis reflection type afocal objective reflects the laser beam and the short-wave infrared beam to the short-wave imaging light path for imaging, and the off-axis reflection type afocal objective reflects the medium-wave infrared beam to the medium-wave imaging light path for imaging.

The invention relates to a short-wave infrared microscopic imaging lens for an optical transfer function measuring instrument, and relates to the technical field of optical testing. The short-wave infrared microscopic imaging lens comprises a first positive lens, a first negative lens, a second positive lens, a second negative lens, a third positive lens and a third negative lens which are sequentially arranged along a light path propagation direction, an aperture diaphragm is arranged on the incident plane of the first positive lens; the first positive lens and the first negative lens are glued through a first lens gluing surface to form a first lens, the second positive lens and the second negative lens are glued through a second lens gluing surface to form a second lens, and the third positive lens and the third negative lens are glued through a third lens gluing surface to form a third lens. According to the short-wave infrared microscopic imaging lens for the optical transfer function measuring instrument, the imaging performance of short-wave microscopic imaging is excellent; tolerance capacity is loose, and processing and adjustment are easy; the method is high in testing efficiency, low in cost and suitable for practical application.

The invention discloses a vehicle blind area dynamic enhancement and warning system for a low-light environment, and relates to the technical field of automobile active safety, and the system comprises a short wave infrared imaging module which is used for capturing a passive thermal feature image of a scene behind the side of a vehicle; the multi-source signal acquisition module is used for acquiring a vehicle bus signal representing a vehicle motion state and an operation intention of a driver in real time; the data processing and risk assessment module is connected with the short wave infrared imaging module and the multi-source signal acquisition module, and is used for performing fusion processing on the thermal feature image and the vehicle bus signal, identifying a blind area target and calculating a dynamic risk level of the blind area target; the grading warning and intervention module is connected with the data processing and risk assessment module; the short-wave infrared imaging technology which is sensitive to night light and high in anti-interference capacity is adopted, the imaging problem under extremely low illumination is fundamentally solved, and stable detection of vehicles and pedestrians in a long distance in a completely light-source-free environment is achieved.

The invention discloses a planar short-wave infrared detector and a preparation method and application thereof. The preparation method comprises the following steps: S1, sequentially growing the buffer layer, the N-type contact layer, the absorption layer, the undoped P-type layer and the cap layer on the substrate; s2, growing a layer of dielectric film on the surface of the cap layer; corroding the exposed cap layer by adopting a wet etching process; s3, removing the dielectric film after corrosion is finished; p-doped Al < 1-w > InwAs is grown in the corrosion area; s4, removing the cap layer and the P-doped Al < 1-w > InwAs on the upper surface of the undoped P-type layer; s5, growing a layer of passivation film on all the exposed upper surfaces; and forming a pattern of a metal contact layer on the surface of the passive film by photoetching to form a P electrode and an N electrode. According to the invention, the problem of high Zn diffusion process difficulty caused by large lattice mismatch between the epitaxial layer with high In component and the substrate is solved, and the performance of the device is improved.

The invention provides a spectral imaging type defect detection method and system for a coating of an isolating switch, and relates to the technical field of electrical equipment maintenance, and the method comprises the following steps: S1, collecting a multiband reflection image of the coating on the surface of the isolating switch through a multispectral imaging device, the multiband at least comprising a visible light band, a near-infrared band and a short-wave infrared band; and S2, carrying out registration and fusion processing on the multi-band reflection image. According to the method and system, visible light, near-infrared and short-wave infrared bands are fused through multispectral imaging, high-precision defect recognition and thickness inversion are achieved, physical damage of traditional contact type detection to a plating layer is avoided, reflection interference is restrained through polarization filtering, the illumination fluctuation influence is eliminated through an ambient light dynamic compensation algorithm, and the detection accuracy is improved. And finally, in combination with structured light three-dimensional reconstruction and a multispectral inversion model, a coating thickness distribution diagram and a service life prediction curve are generated, data support is provided for preventive maintenance, and the service life of equipment is prolonged.

The invention belongs to the technical field of remote sensing image recognition, and discloses a multi-source remote sensing spodumene recognition method based on a spectral index and a double-branch neural network. The method comprises the steps of field sample collection, remote sensing image acquisition and pretreatment; calculating a spodumene index based on spectral characteristics of spodumene in a remote sensing image, and making a remote sensing index cube; a double-branch neural network model based on a graph convolutional network and a one-dimensional convolutional neural network is constructed, spodumene spectral features and spatial distribution features are recognized, spodumene is further recognized, and recognition result precision evaluation is performed. According to the method, the problem that the spectral characteristics of spodumene in visible light-near infrared and short wave infrared band remote sensing images are not obvious and are difficult to identify is solved, a mixed deep learning model, namely a double-branch neural network model is used for fully utilizing graph and spectrum information in the remote sensing images, and the spodumene identification accuracy and efficiency are improved.

To provide a light receiving element for optical communication superior in polarization distinctiveness, wavelength separability, high-speed responsiveness, and thinning.SOLUTION: A light receiving element for optical communication comprises: a semiconductor layer or a dielectric layer; a semiconductor light absorption layer that is formed on the semiconductor layer or the dielectric layer; a short wavelength infrared transparent layer that is formed on the semiconductor light absorption layer; and a metal diffraction grating that is formed on the short wavelength infrared transparent layer. Short wavelength infrared light incident from an upper direction of the metal diffraction grating made incident, a period p of the metal diffraction grating is set so that a surface plasmon resonance wave is excited on a boundary surface between the metal diffraction grating and the short wavelength infrared transparent layer by the short wavelength infrared light. A thickness of the semiconductor light absorption layer is set so that the period p of the metal diffraction grating and a waveguide mode transmission wavelength β in which the three layers (the semiconductor layer or the dielectric layer, the semiconductor light absorption layer, and the short wavelength infrared transparent layer) are regarded as a clad core light waveguide path satisfy a condition of β=p*0.9 to 1.1.SELECTED DRAWING: Figure 1