970 results about "Single pixel" patented technology

The invention discloses a special environment laser radar system and method based on polarization modulation and laser coding. The laser radar system comprises a polarization modulation laser emitting unit, a multi-channel receiving unit and a compressed sensing reconstruction unit. The polarization modulation laser emission unit comprises a laser, a beam expanding module, a spatial light modulator, a micro galvanometer array, a spatial filter and a first focusing lens which are arranged in sequence; the multi-channel receiving unit comprises a second focusing lens, a polarization beam splitter and a single-pixel detector array which are arranged in sequence; and the compressed sensing reconstruction unit comprises a compressed sensing processing module, an image reconstruction module and a loop adaptive control module which are arranged in sequence. The anti-interference capability in a complex environment is enhanced through polarization modulation, the detection resolution and the signal-to-noise ratio are improved in combination with laser coding, the imaging quality and stability of the laser radar in a special environment are greatly improved, and the method can be widely applied to the fields of military reconnaissance, disaster rescue, unmanned driving and the like.

The invention provides a display panel, a driving method thereof, a driving circuit and a display device.The display panel comprises a plurality of scanning lines, a plurality of data lines and pixel units arranged in an array mode, and each pixel unit comprises a pixel electrode, a storage capacitor, a first transistor, a comparison circuit and a switch logic circuit; the comparison circuit compares a signal input by a data line with a first reference voltage and outputs a comparison signal corresponding to high and low levels, and the switch logic circuit performs logic judgment and corresponding on-off on the level of the signal input by the scanning line and the comparison signal, so that the line scanning signal and the data signal are input to the first transistor; the data lines and the scanning lines are connected to control whether data signals of the pixel electrodes and the storage capacitors are written and refreshed or not, the pixel units can be controlled to maintain a current picture and switch a display picture by inputting data signals and line scanning signals of different sizes to the data lines and the scanning lines, independent control over the single pixel unit can be achieved, and the display requirements of different refresh rates are met.

The invention relates to the technical field of cholesteric liquid crystal electronic paper display, and discloses a cholesteric liquid crystal electronic paper display panel and a driving method thereof, and the cholesteric liquid crystal electronic paper display panel comprises an upper substrate, a lower substrate, a grid scanning line and a signal line, the electrode strip blocks continuously extend in the direction of a grid scanning line, each electrode strip block corresponds to one row of pixels, a single pixel corresponds to one pixel electrode, the electrode strip block corresponding to each row of pixels is conducted with the ITO electrode in the corresponding row through a conductive spacer, the ITO electrode is located on the periphery of a display area of the display panel, and in the direction of a signal line, the ITO electrode is connected with the electrode strip block in the corresponding row. The size of a single pixel is larger than the width L of each electrode strip block and larger than or equal to the width L'of a pixel electrode, and the distance S between every two adjacent electrode strip blocks is larger than or equal to the width W of a grid scanning line. According to the display panel and the driving method thereof, by optimizing the common electrode structure and the driving time sequence, the display performance and the refreshing efficiency of cholesteric liquid crystal electronic paper are remarkably improved.

The invention relates to the technical field of hyperspectral imaging, in particular to a single-pixel hyperspectral imaging method and device based on time domain stretching. The method comprises the following steps: broadband signal light passes through a sample to be detected to obtain two-dimensional image information and one-dimensional spectral information, a mask pattern is generated by using a spatial light modulation module, and spatial coding modulation is performed on the signal light carrying the sample information; the broadband signal light subjected to space coding is effectively collected through a multimode optical fiber, different space frequency components are homogenized, then time stretching is conducted through a time stretching module to achieve separation of different wavelengths in the time domain, and time domain information of signal pulses is recorded through a single-pixel detector; time is mapped back to a frequency spectrum through the accurate corresponding relation between the signal light frequency and the time delay amount, and a hyperspectral image is obtained according to the known mask sequence and the signal intensity corresponding to different wavelengths in combination with an association algorithm. According to the technical scheme, high-spectral imaging with high speed, high spectral resolution and high sensitivity can be realized.

According to the ellipsometer based on the micro-nano deformable structure provided by the invention, the ellipsometer can be reduced to a sub-pixel level by the metasurface based on the micro-nano deformable structure, and when a large amount of the micro-nano deformable structure is integrated in the space, parameters of a measured surface of a whole measured material can be obtained in an imaging form; the limitation that a traditional ellipsometer can only perform single-point measurement is broken through; namely, two-dimensional measurement can be carried out in an imaging mode, the defect of single-point measurement of a traditional ellipsometer is overcome, the on-chip size of the ellipsometer is greatly reduced, and the size of the ellipsometer is reduced to the single-pixel level; the micro ellipsometer can be combined with different optical lens groups to detect the optical property and uniformity of the whole film in an imaging manner, and the defect of single-point detection of a traditional micro ellipsometer is overcome; according to the total variation-based full Stokes polarization vector reconstruction model, constraint is applied to iteration internal data, so that an operation result is more stable and is easy to converge.

The invention discloses a rapid polarized light acoustic imaging device which comprises an excitation source, a light beam shaping module, a rapid polarization modulation module, an energy feedback module, a rapid scanning module and an acquisition processing module. And receiving photoacoustic signals corresponding to the exciting light in four different polarization states for calculation, and extracting anisotropy information of the sample. Compared with multiple times of scanning a sample or modulating the polarization state by rotating a half-wave plate, the problems of dislocation of multiple times of polarization acquisition points and false positive calculation are avoided, meanwhile, the time interval generated by continuously modulating the laser pulses is short, and energy fluctuation among the four pulses and errors caused by fluctuation are reduced. According to the invention, the limitation of the precision and speed of polarized light acoustic microscopic imaging is overcome, the microstructure characteristics in the target sample can be rapidly, accurately and highly sensitively detected, and the method has great application prospects in biomedical imaging and high-precision material detection.

The embodiment of the invention provides an optical detection device which comprises an imaging assembly and a photoelectric detection device, and the imaging assembly is used for forming an image on an image plane of a to-be-detected area of a wafer. And the photoelectric detection device is used for receiving images and is arranged at the image plane. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly, the light beam separation assembly is used for dividing a continuous first light signal in an image into multiple beams of second light signals, and the light beam separation assembly comprises a microlens array. The sensor assembly is used for receiving multiple beams of second optical signals, and each pixel unit of each sensor in the sensor assembly is used for receiving one beam of second optical signal in the multiple beams of second optical signals. The sensor assembly comprises a single-pixel sensor, and the single-pixel sensor corresponds to one micro lens in the micro lens array; and / or, the sensor assembly comprises a multi-pixel sensor, the multi-pixel sensor corresponds to a plurality of microlenses in the microlens array, and spatial segmentation is beneficial to improving the signal-to-noise ratio.

Described is a system for anomaly detection from hyperspectral data. The system receives, from a hyperspectral sensor, input hyperspectral data cubes with input data bands for every pixel. Using an optimization technique, an optimized number of virtual bands is determined to use for combining the hyperspectral data cubes to achieve optimal anomaly detection performance. The optimized number of virtual bands is less than the input data bands, resulting in reduced hyperspectral data. The hyperspectral data cubes are combined into the optimized number of virtual bands with the optimal bandwidth for each virtual band, and a set of combined hyperspectral data is output. Anomalies are detected in the set of combined hyperspectral data using an anomaly detection technique. Based on the detected anomalies, single-pixel or subpixel targets of interest are detected in the combined hyperspectral data.

The invention discloses a method for improving the axial resolution of photoacoustic microscopic imaging obtained based on a single-pixel frequency domain. The method comprises the following steps: 1) creating a Fourier substrate pattern with the spatial frequency of k in the axial direction; 2) respectively irradiating four Fourier substrate patterns with the spatial frequency of k and the initial phases of # imgabs0 #, # imgabs1 #, # imgabs2 # and # imgabs3 # to an imaging object, carrying out photoacoustic microscopic imaging, and acquiring data by using an ultrasonic transducer to obtain a response value of the ultrasonic transducer; 3) according to the obtained response value of the ultrasonic transducer, adopting a four-step phase shift method to obtain a Fourier coefficient corresponding to the spatial frequency k; and 4) gradually increasing the spatial frequency of the Fourier substrate pattern to the cut-off frequency of the objective lens, further obtaining Fourier coefficients corresponding to all spatial frequencies, obtaining a complete Fourier spectrum, and performing inverse Fourier transform to obtain a photoacoustic microscopic image after the axial resolution is increased. The method disclosed by the invention is expected to promote wider application of photoacoustic microscopic imaging in living cell and tissue imaging.

The present invention belongs to the field of integrated circuit defect detection. Provided is a surface defect detection method based on a perceptual auto-encoder. In the present invention, pixel-wise loss is replaced with perceptual loss to solve the problems of blurred output images and severe edge distortion caused by single-pixel loss; in addition, the method has a strong transferability and can thus be well transferred to a new target to be detected. Moreover, in the present invention, a sliding window method is replaced with a feature pyramid, by means of which it is not necessary to perform a large amount of redundant computation by sliding on an original image, thereby effectively reducing memory and computation costs. Provided in the present invention is a surface defect detection apparatus based on a perceptual auto-encoder, the apparatus including specific modules for implementing an operating method. Provided in the present invention are a computer device and a storage medium for a surface defect detection method based on a perceptual auto-encoder, the computer device and the storage medium being used for implementing the specific steps of the operating method.

The invention relates to the technical field of MIP devices, solves the problems that in the prior art, a single-pixel MIP device is large in pin number, low in screen body contrast ratio and high in manufacturing cost, and provides an all-in-one MIP device and a manufacturing method thereof.The manufacturing method comprises the steps that a substrate to be processed is obtained, and bonding pads and copolar lines are formed on the second surface of the substrate through deposition; depositing and forming an insulating layer in a non-pad area in the second surface; forming a through TGV conductive through hole in the substrate along the thickness direction, and forming a conductive metal layer in the TGV conductive through hole; forming back pin metals in one-to-one correspondence with the TGV conductive through holes on the first surface to form a pin array; welding the LED chips on the bonding pad in a flip-chip manner, and arranging the LED chips at intervals to form pixel units; and a packaging layer is deposited and formed on the LED chip and the gap area of the LED chip, and the all-in-one MIP device is obtained. The number of the pins is reduced, the contrast ratio of the screen body is improved, and the manufacturing cost is reduced.

The invention provides a high-order distributed fire-fighting unmanned aerial vehicle task allocation method and system, and relates to the technical field of unmanned aerial vehicle task allocation, and the method comprises the following steps: obtaining a thermal infrared image and necessary parameters; calculating the length and width of a thermal infrared image coverage area corresponding to a single pixel point; converting the thermal infrared image into a grey-scale map, carrying out binarization processing on the fire area, and calculating the area of the fire area; extracting a fire area boundary, establishing a local coordinate system, and calculating coordinates of the fire area boundary and the fire-fighting unmanned aerial vehicle; and carrying out distributed collaborative decision and task allocation. The method has the beneficial effects that the single-point fault problem in a centralized mode is avoided, the system reliability and robustness are high, the information interaction and cooperation are efficient, the decision process is simplified, the task repeated allocation is avoided, and the allocation strategy can be adjusted according to the dynamic change of the fire area.

The invention discloses a fluorescent photoacoustic bimodal imaging device and method based on a single pixel. The method comprises the following steps: placing an object at the focal length position of an objective lens of an imaging unit; starting the laser, and adjusting the beam shaping unit to amplify the laser emitted by the laser to a required size; the structured light generation unit generates a binary black and white pattern based on the amplified laser beam to obtain structured light; the structured light irradiates an object, so that the object is excited to generate a fluorescence signal and a photoacoustic signal; and adopting a single-point detection method to collect the fluorescence signal and the photoacoustic signal, and performing image reconstruction through an inverse algorithm corresponding to the algorithm for generating the binary black and white pattern. According to the invention, photoacoustic-fluorescent bimodal imaging is realized based on a single-pixel technology, a single-pixel imaging technology route is used for replacing a traditional array imaging mode as a breakthrough, the problem of photoacoustic and fluorescent image fusion is solved from the imaging principle, and finally a time-space matched multi-modal image is obtained. Meanwhile, the system has the advantages of low cost, high imaging speed, no need of a complex optical system and the like.

The invention discloses an ultra-low illumination-oriented SPAD active imaging data compression method, which comprises the following steps of: performing wavelet decomposition on histogram data of a single pixel in a time-frequency domain based on wavelet transform to obtain low-frequency data of each pixel after wavelet decomposition; by taking each pixel as a center, performing non-maximum suppression and data enhancement on the low-frequency data after the wavelet decomposition of the current pixel by using adjacent pixels to obtain processed compressed data; customizing different Gaussian kernel parameters for each pixel according to the possibility that each pixel is located at the boundary, and performing Gaussian filtering on the processed compressed data of each pixel to obtain filtered data; and performing depth estimation on the filtered data to obtain a final depth image. According to the method, the depth reconstruction performance of the laser pulse can be improved by utilizing the multi-resolution characteristic of wavelet transform, the space-time correlation of signal photons and the smoothness of Gaussian filtering.

The invention provides a heart MRI quantitative imaging motion correction and parameter graph reconstruction and segmentation method and system. The method comprises the following steps: constructing a multi-task model; and constructing a motion-free simulation signal data set of the selected quantity imaging task, and pre-training the single-pixel parameter estimation network and the single-pixel signal simulation network based on the data set. And constructing a real image data set of the selected amount of imaging tasks, fixing network parameters obtained by pre-training, and training a multi-task model to determine values of residual parameters in the model. And performing motion correction, quantitative parameter graph reconstruction and region-of-interest segmentation on a newly acquired image sequence of the selected amount of imaging task through the trained multi-task model, and outputting a reconstructed quantitative parameter graph and a segmentation mask of the quantitative parameter graph. The method is more accurate and quicker, and can realize full-automatic and one-stop post-processing of heart quantitative imaging.

The invention discloses a feature hierarchical attention fusion and dynamic optimization method for single-stage target detection, and relates to the technical field of computer vision. The method comprises the steps of collecting image data, preprocessing an image and dividing the image into a training set, a test set and a verification set; the HAF-DRFPN neck network uses dynamic up-sampling single pixel point sampling to recover the feature resolution; feature extraction is optimized by using a gating residual mechanism and depth separable convolution; a feature refining feed-forward network is introduced through multi-layer perception generation weight, and feature expression is enhanced; respectively capturing and fusing superficial details and deep semantic information by utilizing channel and space attention and cross attention; a multi-branch dynamic sampling stacking framework is adopted, and cross-scale features are adaptively fused and optimized; multi-module cooperative processing is carried out on the whole architecture, and multi-scale features with higher discrimination are provided for the detection head; according to the method, the YOLO12 trunk and the detection head are connected with the HAF-DRFPN to form the model HAF-DRNet suitable for target detection, so that the flexibility and accuracy of single-stage target detection are improved.

The invention relates to a pavement crack image skeleton extraction method based on an improved Zhang-Suen refinement algorithm. The method comprises the following steps: S1, carrying out binarization processing on a pavement crack image; s2, carrying out boundary expansion on the crack binary image; s3, carrying out run-length coding on the crack binary image in the horizontal direction, and carrying out compression storage on continuous non-zero pixel segments in each row; s4, using an improved Zhang-Suen refinement algorithm to process the crack binary image processed in the step S3; s5, removing boundary extension; s6, performing simplification processing on the preliminarily refined crack skeleton image by using four predefined 3 * 3 L-shaped structure templates; s7, removing burrs in the image; and S8, outputting a crack skeleton image. The technical problems that according to an existing skeleton extraction method, a topological structure is prone to being damaged, the calculation efficiency is low, the extraction result cannot be completely a skeleton with the single pixel width, and burrs exist in the skeleton extraction result are solved.

The invention belongs to the related technical field of ink-jet printing decompression film forming, and particularly relates to a large-size panel film forming consistency optimization method for ink-jet printing, which comprises the following steps of: in a liquid drop evaporation film forming process, adopting three groups of observation components, film forming images of the center, the edge and the corner area of the printing substrate located in the cavity are observed above the large-size reduced pressure evaporation cavity; processing the film forming image of each region, and extracting the current droplet volume of a single pixel pit of each region; determining a difference value between a preset current reference volume and a current droplet volume of a single pixel pit in each region, and determining a target temperature of the corresponding region in combination with a relational expression based on the temperature and the evaporation speed; based on the difference between the target temperature and the actual temperature, the temperature of the area is controlled through a temperature controller of the corresponding area; and the steps are circulated until the liquid drops on the printing substrate are completely formed into the film or the process time is over. According to the invention, the consistency of reduced pressure evaporation film formation can be realized on line.

The invention discloses a multi-spectral imaging system and method in a single-pixel type ultraviolet-visible-infrared wide spectral range. The system comprises a light source module, a modulation device, a lens group, a multi-spectral detection module, a multi-channel data acquisition module and a data processing module, according to the invention, a plurality of narrow-band detectors with different spectral responses are introduced into the multispectral detection module, so that additional light splitting devices and light filtering devices are avoided, parameters such as view fields, view angles and pixel numbers of images obtained by using different narrow-band detectors are completely the same, the problem of image registration does not exist, and data analysis and image fusion are facilitated; in addition, the size of the narrow-band detector is basically not limited and can reach the centimeter magnitude, and the imaging capability is improved under the condition of weak light. The multispectral imaging system provided by the invention has the characteristics of single-pixel imaging, large number of spectrums, wide spectral range, high imaging speed, good temporal-spatial resolution and small size.

The invention provides a single-pixel-based visible light infrared fusion compression spectrum imaging system and method, and the method comprises the following steps: 1, carrying out the signal coding of a to-be-detected target signal, and obtaining a coded to-be-detected target infrared signal and a coded to-be-detected target visible light signal; step 2, inputting a to-be-measured target infrared signal into an infrared imaging light path, collecting a medium-wave infrared spectrum intensity value, and inputting a to-be-measured target visible light signal into a visible light imaging light path to collect a visible light spectrum intensity value; step 3, carrying out compressed sampling and reconstruction operation on the visible light spectrum intensity value and the medium wave infrared spectrum intensity value to obtain an infrared hyperspectral image and a visible light hyperspectral image of the target to be detected; 4, performing image fusion according to the infrared hyperspectral image and the visible light hyperspectral image to obtain a fused image with rich details; the fusion imaging of the method has the characteristic of keeping the feature information of the target scene so as to realize high-quality imaging.

A single pixel multi-color LED device includes two or more LED structures for emitting a range of colors. The two or more LED structures are horizontally formed as sub-pixels to combine light. In some embodiments, two or more light emitting layers are formed on a substrate with integrated circuits and the two or more light emitting layers are bonded together with bonding layers. In some embodiments, the two or more LED structures are formed by utilizing a respective top light emitting layer of the respective LED structure and by removing extra top light emitting layer(s) with the respective LED structure. In some embodiments, the up and down orientation of the P-type region and the N-type region within the first light emitting layer is different from the up and down orientation of the P-type region and the N-type region within the second light emitting layer.

The invention relates to the technical field of unmanned aerial vehicle load system image registration, in particular to a visible light and infrared image registration fusion method for an unmanned aerial vehicle photoelectric turret. Comprising the following steps: measuring and calibrating a relationship between a visible light camera focal length and a visible light Y-direction field angle on the ground, recording the relationship between the field angle and the focal length as a file, and storing the file on a camera control panel; the camera control panel controls the movement of the visible light camera through a PID algorithm until the field angle of a single pixel of the visible light image is matched with the field angle of a single pixel of the infrared image; extracting different-source image descriptors, matching the different-source image descriptors, storing the projection relation of each pixel coordinate as a matrix A, and calling to complete registration; and calculating the local contrast and information entropy of the visible light image and the infrared image, dynamically adjusting the fusion proportion, and generating a registration fusion image. The method has the advantages that simple calibration on the ground is only needed; and after zooming, a registration algorithm is operated on an airborne computer, and the efficiency and accuracy of feature matching are improved in combination with a multi-scale descriptor.

The invention provides a video depth estimation method and device, a storage medium and a program product, and the method comprises the steps: obtaining a first camera motion offset of a pixel point in a to-be-compensated video frame relative to a same pixel point in an adjacent frame, and an object motion offset of the pixel point in the to-be-compensated video frame relative to the same pixel point in the adjacent frame; and compensating the predicted first depth map of the to-be-compensated video frame pixel by pixel, namely acting the camera motion offset and the object motion offset corresponding to a single pixel point on the pixel point, and compensating the pixel point of the first depth map of the to-be-compensated video frame in a targeted manner. The estimated depth between the to-be-compensated video frame and the adjacent frame is stable, and when the estimated depth maps of the to-be-compensated video frame and the adjacent frame are applied to the fields of video blurring or automatic driving and the like, the to-be-compensated video frame and the adjacent frame do not flicker. And artifacts do not appear on the edges of the objects in the to-be-compensated video frame and the adjacent frame.

The invention belongs to the technical field of synthetic aperture radars, and relates to an InSAR sequence time decoherence suppression method based on a complex covariance matrix, and the specific process is as follows: for a plurality of input SLC SAR image complex vectors, extracting a single-pixel p-dimensional complex scattering vector at a pixel x, and generating an initial complex covariance matrix; the method comprises the following steps: generating a rectangular search window Wx by taking a pixel x as a center, aiming at multiple input SLC SAR image complex vectors, extracting a p-dimensional complex scattering vector of a single pixel at a pixel y in the search window, and generating a reference complex covariance matrix; enabling the pixel y to traverse each pixel except the pixel x in the rectangular search window Wx, and calculating a maximum likelihood test statistic Q (x, y) according to the initial complex covariance matrix and the reference complex covariance matrix; and based on a complex covariance matrix # imgabs0 # estimated by Q (x, y), extracting the intensity, the phase and the correlation coefficient of the InSAR sequence after de-coherence suppression at the pixel x from the complex covariance matrix # imgabs0 #, and finally obtaining a time sequence de-coherence suppression result of the complete SAR interferogram sequence.

The invention discloses a single-pixel multi-encryption imaging method and device and a storage medium. The method comprises the steps of generating a single-pixel orthogonal basis transform coding illumination pattern, and exchanging the sequence of a coding illumination pattern sequence by using a time sequence key and a remapping algorithm; the coded illumination pattern is processed by using a space key, and at the moment, an image sequence is encrypted in two aspects of a space domain and a frequency domain; projecting a preset coding illumination pattern to the surface of an object to be encrypted and imaged; measuring and recording the light intensity of the reflected or transmitted light by using a detector; decrypting the signal by using the combination of the space key and the time sequence key to obtain a plaintext signal; and reconstructing the image by using a corresponding single-pixel imaging method. According to the method, the single-pixel imaging technology is utilized, the image encryption signal can be obtained under the condition of low sampling rate, calculation only needs to be carried out when the encryption coding illumination pattern is generated, and the defect that a traditional image encryption method based on a camera is large in calculation amount is overcome.

The invention discloses an electric power meter intelligent reading system based on image recognition, and relates to the technical field of computer vision. The method is used for solving the problems of poor instrument reading stability and low range identification accuracy in a complex environment. The method comprises the following steps: firstly, performing multi-scale retina processing and four-direction gradient integral response analysis through an anti-shielding dial plate detection module, generating a probability heat map based on symmetry distribution, and outputting an accurate dial plate region segmentation mask through channel fusion; secondly, extracting a single-pixel wide pointer skeleton through non-maximum suppression and morphological refinement by using a meta-learning skeleton extraction module, and obtaining scale line distribution characteristics based on radial gradient analysis; thirdly, performing three-level progressive verification through a context range analysis module in combination with a geometrical relationship, a knowledge graph and a logical relationship, and outputting a range parameter; multi-dimensional information fusion is adopted to evaluate segmentation quality and skeleton integrity and verify consistency, reliable reading is generated, credibility evaluation is carried out, and high-precision stable reading in a complex environment is realized.

The invention provides an infrared image sensor and a pixel-level reading circuit thereof, and relates to the field of infrared image sensors. The pixel-level reading circuit is integrated in a single pixel unit, and comprises a direct injection input-level circuit used for converting an infrared light-generated current generated by an infrared image sensor into an analog voltage signal; the pulse frequency modulation analog-to-digital converter is connected with the direct injection input stage circuit and is used for converting the analog voltage signal into a pulse signal; the SR latch is electrically connected with the pulse frequency modulation analog-to-digital converter and is used for carrying out accumulative counting on the pulse signals so as to form digital code words reflecting the infrared light intensity; and the digital logic control unit is electrically connected with the SR latch and is used for transmitting the digital code word to a reading bus of the infrared image sensor, so that the output of a digital signal is realized, and the reading rate of the image sensor is improved.

The invention provides a structured light detection system and method based on photon-level single-pixel wavefront imaging, and belongs to the technical field of wavefront imaging. The problem of low detection sensitivity of a single-pixel wavefront imaging technology in extreme environment communication is solved; comprising a structured light generation module, a light beam transmission module and a structured light detection module, the structured light generation module is used for generating structured light carrying different topological charges, the structured light is remotely transmitted to the structured light detection module through the light beam transmission module, and the structured light detection module is based on a coaxial phase-shifting interference wavefront imaging principle. A long-distance transmitted structured light signal is processed by adopting a single photon detection technology and utilizing a digital micromirror device and a Hadamard mask modulation technology; according to the method, under 50m long-distance transmission, each mask only needs 30 photons on average to complete topological charge identification, the structured light identification accuracy can reach 96% or above, and the method is suitable for structured light detection under ultra-long-distance and extremely-weak light conditions.

The invention discloses a remote sensing image road breakpoint repairing method and device and a medium. The method comprises the steps that a road image is converted into a binary image, a connected region is calculated, a threshold value is set to remove part of the connected region, skeletonization operation is conducted on the optimized binary image, and a road is converted into a road skeleton with the single-pixel width. Extracting breakpoints of all roads, and obtaining breakpoint parameter values; on the basis of the matching value between each group of breakpoint pairs, connecting the breakpoint pairs of which the matching values exceed a threshold value, and obtaining a perfect road skeleton; road width repairing is conducted on the perfected road skeleton, and a repaired road is obtained. According to the method, the repaired road is regularized, so that the width of the repaired road is ensured to conform to a physical rule, the condition of road boundary distortion or excessive connection caused by mismatching is avoided, and the repaired road boundary is more accurate and natural by optimizing the smoothness and regularity of the repaired path; and the risk of misjudgment is reduced.

The embodiment of the invention provides a photoelectric detection device and an optical detection device. The photoelectric detection device comprises a light beam separation assembly and a sensor assembly. The light beam separation assembly is used for dividing a continuous first light signal into a plurality of beams of second light signals at different spatial positions. The sensor assembly is used for receiving multiple beams of second optical signals. The sensor assembly includes a plurality of sensors, the plurality of sensors including single-pixel sensors. The continuous first optical signal is divided into a plurality of small discrete second optical signals through the light beam separation assembly, so that the light sensing area of each sensor corresponding to a sample is further reduced, the haze noise on a single sensor is further reduced through the small light sensing area, and the haze noise on the single sensor is further reduced under the condition that the original first optical signal is not changed. Noise on a single sensor is reduced, and the signal-to-noise ratio of the photoelectric detection device is improved.