Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
37results about How to "Achieve high-precision reconstruction" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Space-spectrum joint sparse prior based satellitic hyperspectral compressed sensing reconstruction method
ActiveCN103632385ASolve the problem of insufficient compressionSolve the accuracy problemImage codingSpectral bandsReconstruction method
The invention provides a space-spectrum joint sparse prior based satellitic hyperspectral compressed sensing reconstruction method. The method includes hyperspectral data-block diagonal random measurement of an onboard encoding end and compressed sensing construction of a ground decoding end. The onboard encoding-end adopts block-diagonal hyperspectral-data random measurement matrixes to perform independent random sampling on each spectral band so as to acquire measurement data and then sends the measurement data to the ground decoding end through a data link, the ground decoding end decomposes the data into low-rank components and sparse components, low-rand prior between the hyperspectral-data spectral bands and sparse prior in the spectral bands are jointed to establish a convex optimization reconstruction model, iteration solution is performed to obtain low-rank components and sparse components of reconstructed hyperspectral data, and the low-rank components and the sparse components are merged to obtain the reconstructed hyperspectral data. By the method, precision and efficiency of satellitic hyperspectral-image compressed sensing reconstruction are improved.
Owner:NANJING UNIV OF SCI & TECH
Dual-wavelength phase-shift interference aspheric surface measurement method and device based on partial compensation method
ActiveCN107764203AReduce system design difficulty and costShorten instrument design cyclesUsing optical meansSurface measurementPhase shifted
The invention belongs to the technical field of optical precision testing, and relates to a dual-wavelength phase-shift interference method based on a partial compensation method and an implementationdevice. The method comprises the steps of building a partial compensation method dual-wavelength phase-shift interferometer, and acquiring measured wavefront wrapped phases of two single wavelengths;modeling a partial compensation method dual-wavelength ideal interferometer, and acquiring residual wavefronts and wrapped phases of the two single wavelengths; eliminating known and unknown wavefront variations in the measured wavefront wrapped phases by adopting an error separation and elimination algorithm, and finally optimizing and reconstructing surface-shape error of the measured asphericsurface by adopting reverse iteration. The device comprises a first laser, a second laser, a first slit, a second slit, a first plane mirror, a second plane mirror, a first beam splitter, a second beam splitter, a beam expander, a collimating mirror, a standard plane mirror, a phase shifter, a partial compensating mirror, a measured aspheric surface, an imaging lens and an interferogram acquisition assembly containing a sparse array sensor. The method and device provided by the invention are particularly applicable to processing quality measurement for gradient aspheric surfaces with a small surface-shape error, molded aspheric surfaces with a great surface-shape error and free curved surfaces.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Three-dimensional temperature reconstruction combination method based on flame light field refocus image
ActiveCN109115348AHigh precisionImprove accuracySensing radiation from gases/flamesPyrometry using electric radation detectorsImaging processingPoint spread function
A three-dimensional temperature reconstruction combination method based on a flame light field refocus image is disclosed. The invention relates to the three-dimensional temperature reconstruction combination method based on the flame light field refocusing image. By using an existing nearest neighbor method, the physical reconstruction precision of the outermost layer and secondary outer layer offlames is low, and when a Lucy-Richardson deconvolution method is used in intermediate layer flame physical reconstruction, the precision is low. In the invention, the above problems are solved. Themethod has the following steps of 1, using a light field camera to shoot the flame and record the three-dimensional light field image of the flame; 2, acquiring the light field refocusing image of theflame; 3, acquiring the point spread function of the light field camera; 4, acquiring a flame chromatography image; and 5, acquiring a fitting relationship between a black body plane surface radiation force and a gray scale, and reconstructing the radiation force for the gray scale of the flame chromatography image based on the fitting relationship, and according to the radiation force, acquiringa three-dimensional flame temperature. The method is used for the flame image processing field during a high temperature flame temperature reconstruction process.
Owner:HARBIN INST OF TECH
Hyperspectral image compressed sensing method based on heavy weighting laplacian sparse prior
ActiveCN104734724AReduce resource consumptionAchieve high-precision reconstructionCode conversionSignal-to-noise ratio (imaging)Resource consumption
The invention discloses a hyperspectral image compressed sensing method based on the heavy weighting laplacian sparse prior. The hyperspectral image compressed sensing method based on the heavy weighting laplacian sparse prior is used for solving the technical problem that an existing hyperspectral image compressed sensing method is low in reconstruction accuracy. According to the technical scheme, a little linear observation of each pixel spectrum is collected randomly as compressed data, a compressed sensing model based on the heavy weighting laplacian sparse prior and a sparse regulated regression model is established, and solving on the established models is conducted. According to the hyperspectral image compressed sensing method based on the heavy weighting laplacian sparse prior, and a little linear observation of each pixel spectrum is collected randomly as compressed data, so that resource consumption in the image collecting process is reduced; the strong sparsity of the hyperspectral image is depicted accurately through the heavy weighting laplacian sparse prior, inhomogeneous constraint on the nonzero element of the traditional laplacian sparse prior is overcome, and the reconstruction accuracy of the hyperspectral image is improved. It is tested that when a sampling rate is 0.15 and the compressed data consist strong noise with 10 db signal-to-noise ratio, and the peak signal-to-noise ratio promotes over 4 db relative to a background technology method.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Hyperspectral image compressive sensing method based on nonseparable sparse prior
ActiveCN104732566AFully automatic estimationFully consider the potential correlationImage codingData compressionSignal-to-noise ratio (imaging)
The invention discloses a hyperspectral image compressive sensing method based on nonseparable sparse prior. The hyperspectral image compressive sensing method based on nonseparable sparse prior is used for solving the technical problem that existing hyperspectral image compressive sensing methods are low in reconstruction precision. According to the technical scheme, a few of linear observed values of each pixel spectrum are collected and serve as compressed data, and the resource demand in the image collection process is reduced while substantial data compression is achieved. In the reconstruction process, empirical Bayesian reasoning is utilized to construct nonseparable sparse prior of sparse signals, potential correlation among nonzero elements in the sparse signals is taken into full consideration, and high-precision reconstruction of hyperspectral images is achieved. Because a wavelet orthogonal basis serves as a dictionary according to the method, dependency on end members is eliminated. In addition, through reasoning based on a Bayesian framework, full-automatic estimation of all unknown parameters is achieved, human adjustment is not needed, and adaptability is wide. Experiments show that when the sampling rate is 0.1, the peak signal to noise ratio obtained according to the hyperspectral image compressive sensing method is increased by above 4 db compared with that obtained according to a background technology compressive sensing method.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
High spectral image compression sensing method based on manifold structuring sparse prior
ActiveCN105427351AAchieve high-precision reconstructionNoise robustnessImage codingPattern recognitionSignal-to-noise ratio (imaging)
The invention discloses a high spectral image compression sensing method based on manifold structuring sparse prior and solves a technical problem of low precision existing in a high spectral image compression sensing method in the prior art. The method is characterized in that a few linear observation values of each pixel spectrum are sampled randomly and are taken as compression data, through the manifold structuring sparse prior, sparsity of a high spectral image after sparsification in the spectrum dimension and manifold structure of the high spectral image in the space dimension are etched, through a hidden variable Bayes model, signal reconstruction is carried out, and sparse prior learning and noise estimation are unified to one regularization regression model for optimization solution. The sparse prior acquired through learning can not only fully describe the three-dimensional structure of the high spectral image, but also has relatively strong noise robustness. The sparse prior is utilized to realize high precision reconstruction of the high spectral image. Based on tests, Gauss white noise is added to the compression data to make the signal to noise ratio of the compression data to be 15db, the sampling rate is 0.09, and thereby the 23db peak value signal to noise ratio is acquired.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
High-precision high-order time rearrangement synchronous extrusion transformation time-frequency analysis method
ActiveCN111289795AAvoid divergenceImprove time-frequency readabilityFrequency measurement arrangementComplex mathematical operationsFrequency spectrumReconstruction method
The invention discloses a high-precision high-order time rearrangement synchronous extrusion transformation time-frequency analysis method. The method comprises the steps: converting a signal x (t) into a frequency domain signal X (omega); selecting an order number N and a frequency window function G (omega), calculating short-time Fourier transform of the X (omega) under omega<k>G (omega), constructing square matrixes alpha N (t, omega) and beta N (t, omega), and calculating N-order group delay estimation; superposing a time-frequency value to a GD estimation position along a time direction,and calculating N-order time rearrangement synchronous extrusion transform to obtain a time-frequency spectrum; and reconstructing the signal. According to the invention, a novel GD estimation methodis provided, the estimation precision of the rapidly changing GD is improved; and the time-frequency spectrum energy is rearranged in the time direction to be gathered near the real GD, so that the energy diffusion is effectively inhibited, and the time-frequency readability is improved. The invention further provides a reconstruction method, and the reconstruction signal is high in reduction degree.
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
Revolution surface sound field reconstruction method based on near-field acoustic holography technology
ActiveCN111707353AImprove reconstruction accuracyInhibition of reconstruction accuracy and stabilitySubsonic/sonic/ultrasonic wave measurementAcoustic radiationSpherical wave
The invention discloses a revolution surface sound field reconstruction method based on a near-field acoustic holography technology. Sound pressure information measured on the cylindrical holographicsurface is utilized; a statistical optimal cylindrical surface near-field acoustic holography technology is applied to reduce the reconstruction distance, so that the reconstruction precision is improved; the limitation that only a regular cylindrical sound field can be reconstructed by adopting a statistical optimal method is overcome by applying a spherical wave superposition near-field acousticholography technology; the reconstruction of the radiation sound field of the shell structure with any revolution surface appearance based on the cylindrical measurement surface is realized; a plurality of spherical wave sources are placed to replace a single spherical wave source, the limitation of the method on the sound field appearance is overcome; negative effects of errors in high-order spherical waves on reconstruction precision and stability are effectively inhibited; the effectiveness of the method is fully displayed through numerical simulation, the radiation sound field of any point of the revolution surface appearance shell structure in the three-dimensional space can be reconstructed, visual display is achieved, and therefore the sound radiation characteristics and the soundfield bright spot positions of different areas of the sound field outside the structure can be visually obtained.
Owner:XI AN JIAOTONG UNIV
Global repair based method and system for assignment for vacant voxels in ultrasound volume data
InactiveCN105005974AFast and precise physical skill assignmentAchieve high-precision reconstructionImage enhancementVoxelComputer science
The invention discloses a global repair based method and system for assignment for vacant voxels in ultrasound volume data. The method comprises the steps of traversing the ultrasound volume data, separating vacant areas comprising non-assigned voxels, and extracting borders of the vacant areas; defining a data item and a smooth item, and calculating repairing weights of the non-assigned voxels; defining a cube area with the voxel with the largest repair weight as the center as an earliest repaired area, and seeking in the whole ultrasound volume data the area most similar to the earliest repaired area; repairing the non-assigned voxels in the earliest repaired area with the voxel gray value in the most similar area; and updating the vacant areas in the ultrasound volume data. Through adoption of the method, non-assigned voxels in the ultrasound volume data can be rapidly assigned accurately, so that high precision reconstruction of the ultrasound volume data can be realized.
Owner:嘉恒医疗科技(上海)有限公司
Automobile morphology active vision detection system and method based on unconstrained homocentric beam family
The invention discloses an automobile morphology active vision detection system and method based on an unconstrained homocentric beam family, and aims at solving the problem of automobile morphology active vision detection based on the unconstrained homocentric beam family. The automobile morphology active vision detection system based on the unconstrained homocentric beam family is mainly composed of a camera (1), a three-dimensional target (2), a laser line projector (3), a two-dimensional target (4), a two-dimensional target base (5), a connecting piece (6) and a tripod (7). The automobilemorphology active vision detection method based on the unconstrained homocentric beam family comprises the four steps of image acquisition, calibration of a position relation between the two-dimensional target (4) and the laser line projector (3), laser line reconstruction in a coordinate system of the camera (1), and automobile characteristic point reconstruction in the coordinate system of the camera (1). The automobile morphology active vision detection system and method based on the unconstrained homocentric beam family, which is simple in structure and reliable in performance is provided.
Owner:JILIN UNIV
Scanner auxiliary fitting and method for measuring surface circular hole of workpiece
ActiveCN109099839AEnhanced GeometryIncrease chromatic aberrationUsing optical meansImaging processingEffect light
The invention relates to a scanner auxiliary fitting and a method for measuring a surface circular hole of a workpiece. The scanner auxiliary fitting comprises a mounting base, a light supplementing lamp and a camera mounted on the mounting base. The camera is provided with two cameras, and the two cameras are symmetrically distributed on two sides of the light supplement lamp. According to the scanner auxiliary fitting for measuring the surface circular holes of the workpiece, the light supplement lamp is provided in a 3D laser scanner. Performing lighting near the circular hole when the light supplementing lamp works, thereby enhancing geometric characteristics near the circular hole, enhancing the color difference around the circular hole and that in the circular hole, and providing a base to obtain a high-precision position and a radius of the circular hole by post image processing.
Owner:ZG TECH CO LTD
Hyperspectral Image Compressive Sensing Method Based on Non-Separable Sparse Prior
ActiveCN104732566BReduce resource requirementsAchieve high-precision reconstructionImage codingData compressionSignal-to-noise ratio (imaging)
The invention discloses a hyperspectral image compressive sensing method based on nonseparable sparse prior. The hyperspectral image compressive sensing method based on nonseparable sparse prior is used for solving the technical problem that existing hyperspectral image compressive sensing methods are low in reconstruction precision. According to the technical scheme, a few of linear observed values of each pixel spectrum are collected and serve as compressed data, and the resource demand in the image collection process is reduced while substantial data compression is achieved. In the reconstruction process, empirical Bayesian reasoning is utilized to construct nonseparable sparse prior of sparse signals, potential correlation among nonzero elements in the sparse signals is taken into full consideration, and high-precision reconstruction of hyperspectral images is achieved. Because a wavelet orthogonal basis serves as a dictionary according to the method, dependency on end members is eliminated. In addition, through reasoning based on a Bayesian framework, full-automatic estimation of all unknown parameters is achieved, human adjustment is not needed, and adaptability is wide. Experiments show that when the sampling rate is 0.1, the peak signal to noise ratio obtained according to the hyperspectral image compressive sensing method is increased by above 4 db compared with that obtained according to a background technology compressive sensing method.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Hyperspectral Image Compressive Sensing Method Based on Reweighted Laplacian Sparse Prior
ActiveCN104734724BReduce resource consumptionAchieve high-precision reconstructionCode conversionSignal-to-noise ratio (imaging)Resource consumption
The invention discloses a hyperspectral image compression sensing method based on re-weighted Laplace sparse prior, which is used to solve the technical problem of low reconstruction accuracy of the existing hyperspectral image compression sensing method. The technical solution is to randomly collect a small number of linear observations of each pixel spectrum as compressed data, establish a compressed sensing model based on reweighted Laplace sparse prior and a sparse regularized regression model, and solve the established model. Since a small number of linear observations are randomly collected as compressed data, resource consumption during image acquisition is reduced. The re-weighted Laplacian sparse prior accurately describes the strong sparsity in hyperspectral images, overcomes the non-uniform constraints of traditional Laplacian sparse priors on non-zero elements, and improves the reconstruction accuracy of hyperspectral images. After testing, when the sampling rate is 0.15 and there is strong noise with a signal-to-noise ratio of 10db in the compressed data, the peak signal-to-noise ratio of the present invention is improved by more than 4db compared with the method of the background technology.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Signal Range Profile Reconstruction Method Based on Joint Sparsity
InactiveCN105738897BSave time resourcesReduced imaging timeRadio wave reradiation/reflectionPattern recognitionReconstruction method
The invention discloses a signal distance image reconstruction method based on combined sparse characteristics, comprising steps of (1) generating a random sparse frequency stepping signal echo, (2) establishing a random sparse frequency stepping signal distance image combined reconstruction model based on echo signal combined sparse information, (3) reconstructing various measurement matrixes on each group of sub-plus signals according to different sub-pulse random type, using a Fourier basis as a echo signal sparse base matrix, and (4) using all information with same signal support sets when searching the echo signal support set, and using a DC-OMP algorithm to perform combined reconstruction on the distance image.
Owner:杜庆磊
A Method to Minimize the Sampling Sample Size for Uncertainty Analysis of Nuclear Reactor Physics
ActiveCN110377639BReserved UncertaintyAchieve high-precision reconstructionDigital data information retrievalSpecial data processing applicationsNuclear reactor physicsNuclear reactor
A method to minimize the sampling sample size of nuclear reactor physical uncertainty analysis, firstly determine the multi-group cross-sectional population covariance matrix of the nuclear reactor inner element to be analyzed, and then use the Latin hypercube sampling to obtain a group from the same dimension standard normal distribution population The sample, so that the rank of its covariance matrix is not less than the rank of the overall covariance matrix of the multi-group section, linearly transforms the sample, and solves a transformation matrix for linear transformation to ensure that the transformed sample mean and covariance are respectively equal to The mean and covariance of the multi-group cross-section population, and then obtain the calculation samples of the multi-group cross-section input parameters. The invention reconstructs the uncertainty of nuclear data with the minimum sample size, ensures the convergence of uncertainty analysis results, and solves the problems of loss of nuclear data uncertainty information and huge sample size required by traditional sampling methods; the inventive method is easy to implement and easy to use. The calculation efficiency is significantly improved, and the convergence result is accurate and reliable, which is of great significance to the analysis of nuclear reactor physical uncertainty.
Owner:XI AN JIAOTONG UNIV
Non-Lambertian Object Reconstruction Method Based on Group Sparse Photometric Stereo Vision
ActiveCN104778749BReduce in quantityAchieve high-precision reconstruction3D modellingLuminosityPhotometric stereo
The invention discloses a group sparsity based photometric stereo method for realizing non-Lambert object reconstruction. The method comprises steps as follows: normalized intensity of each pixel of a non-Lambert object in different light source directions is extracted and is grouped, highlight detection is realized with a group sparsity method, and normal restoration and three-dimensional reconstruction are completed finally. According to the method, structural information of the light source direction is sufficiently utilized, and the reconstruction of the complex non-Lambert object can be realized through a smaller number of light sources, so that the reconstruction of objects with different reflection characteristics can be realized with lower cost in shorter collection time.
Owner:ZHEJIANG UNIV
System and method for active visual detection of vehicle shape based on unconstrained concentric beam family
The invention discloses an automobile morphology active vision detection system and method based on an unconstrained homocentric beam family, and aims at solving the problem of automobile morphology active vision detection based on the unconstrained homocentric beam family. The automobile morphology active vision detection system based on the unconstrained homocentric beam family is mainly composed of a camera (1), a three-dimensional target (2), a laser line projector (3), a two-dimensional target (4), a two-dimensional target base (5), a connecting piece (6) and a tripod (7). The automobilemorphology active vision detection method based on the unconstrained homocentric beam family comprises the four steps of image acquisition, calibration of a position relation between the two-dimensional target (4) and the laser line projector (3), laser line reconstruction in a coordinate system of the camera (1), and automobile characteristic point reconstruction in the coordinate system of the camera (1). The automobile morphology active vision detection system and method based on the unconstrained homocentric beam family, which is simple in structure and reliable in performance is provided.
Owner:JILIN UNIV
Structure dynamic displacement non-integral reconstruction method
PendingCN112667952AAvoid errorsHigh precisionCharacter and pattern recognitionComplex mathematical operationsNoiseComputational physics
Disclosed is a structure dynamic displacement non-integral reconstruction method that has relatively high displacement reconstruction precision. An actually-measured acceleration signal of the structure is expressed as the fitting signal with the characteristics of a Prony signal, so that the baseline drift term, the structural vibration term and the noise term in the actually-measured acceleration signal are effectively stripped, and the Prony signal sequence without the residual acceleration of the baseline drift term is obtained. An acceleration displacement relation based on the Prony signal parameters is derived and established, and accurate reconstruction of the structure speed and displacement based on the residual Prony signal sequence is realized. The invention inherits the advantages of the Prony signal for aperiodic signal characterization in displacement reconstruction, and avoids drift term errors. Displacement reconstruction is realized by establishing a conversion relation between acceleration and displacement through acceleration signal characteristic parameters, and signal low-frequency item loss existing in a traditional method based on integration and high-pass filtering is avoided.
Owner:POWERCHINA HUADONG ENG COPORATION LTD +1
Shaft end grounding binocular reconstruction system and method for concentric quadratic curve epipolar geometry
PendingCN111174726ARealize 3D reconstructionAchieve high-precision reconstructionUsing optical meansEngineeringErbium lasers
The invention discloses a shaft end grounding binocular reconstruction system and method for concentric quadratic curve epipolar geometry, and aims to solve the problem of shaft end grounding binocular detection for concentric quadratic curve epipolar geometry. The concentric quadratic curve epipolar geometry shaft end grounding binocular reconstruction system is mainly composed of a base (1), a supporting rod (2), a laser connecting rod (3), a left camera (4), a laser (5), a right camera (6), a camera connecting block (7), a target plate (8), a linear sliding table (9), a connecting rod (11),a supporting rod fixing block (12), a connecting rod fixing block (13) and a laser fixing block (14). The target plate (8) is a flat plate of which the surface is pasted with a concentric quadratic curve; the supporting rod fixing block (12) is a cuboid iron block, two circular through holes with the axes perpendicular to each other are machined in a surface of the supporting rod fixing block (12), and threaded holes are machined in two ends of the supporting rod fixing block (12) respectively. The concentric quadratic curve epipolar geometry shaft end grounding binocular reconstruction system and method are simple in structure and reliable in performance.
Owner:JILIN UNIV
Time-Frequency Analysis Method for High-Precision High-order Time-Rearrangement Synchronous Squeeze Transform
ActiveCN111289795BAvoid divergenceImprove time-frequency readabilityFrequency measurement arrangementComplex mathematical operationsFrequency spectrumTime spectrum
Owner:CHENGDU UNIVERSITY OF TECHNOLOGY
Image restoration method and system based on equality structure multiple regularization
ActiveCN113222861AAchieve high-precision reconstructionImprove reconstruction success rateImage enhancementMathematical modelsGaussianPrior probability
The invention discloses an image restoration method and system based on equality structure multiple regularization, and the method comprises the steps: introducing an equality structure, and constructing a measurement Gaussian likelihood function; selecting a plurality of sparse transformations based on the constructed measurement Gaussian likelihood function, and giving a plurality of mutually independent probability density functions based on sparse transformation coefficients to calculate the conditional prior probability density of the target image; based on the condition prior probability density of the target image, calculating a mean value estimation model of the target image according to a Bayesian rule; and finally, achieving fast reconstruction of the target image by combination of an expectation maximization method and a conjugate gradient method iteration so that the reversibility limitation of sparse representation introduced by a comprehensive method is overcome, sparse transformation of any number is allowed to be adopted, and the convergence speed of the algorithm can be effectively improved through the joint sparse domain.
Owner:HARBIN ENG UNIV
Satellite Hyperspectral Compressive Sensing Reconstruction Method Based on Space-Spectrum Joint Sparse Prior
ActiveCN103632385BWeaken energyReduce storage requirementsImage codingPattern recognitionSpectral bands
The invention provides a space-spectrum joint sparse prior based satellitic hyperspectral compressed sensing reconstruction method. The method includes hyperspectral data-block diagonal random measurement of an onboard encoding end and compressed sensing construction of a ground decoding end. The onboard encoding-end adopts block-diagonal hyperspectral-data random measurement matrixes to perform independent random sampling on each spectral band so as to acquire measurement data and then sends the measurement data to the ground decoding end through a data link, the ground decoding end decomposes the data into low-rank components and sparse components, low-rand prior between the hyperspectral-data spectral bands and sparse prior in the spectral bands are jointed to establish a convex optimization reconstruction model, iteration solution is performed to obtain low-rank components and sparse components of reconstructed hyperspectral data, and the low-rank components and the sparse components are merged to obtain the reconstructed hyperspectral data. By the method, precision and efficiency of satellitic hyperspectral-image compressed sensing reconstruction are improved.
Owner:NANJING UNIV OF SCI & TECH
High-precision point cloud color reconstruction method based on low-resolution image
ActiveCN114549307AAchieve high-precision reconstructionAvoid interferenceImage enhancementImage analysisColor imagePoint cloud
The invention discloses a high-precision point cloud color reconstruction method based on a low-resolution image, and the method comprises the steps: firstly reconstructing a high-precision color-free point cloud P, then shooting a high-resolution gray image and a low-resolution color image, detecting feature points, judging matching point pairs, and obtaining a coordinate transformation matrix H according to an optimized matching point pair set; then coordinate transformation is carried out on the low-resolution color image Icolor, and a registered high-resolution color image is obtained in a filling area of the high-resolution color image Ireg by using a bilinear interpolation method; fusing the high-resolution color image and the high-resolution grayscale image based on bilateral filtering and weighted least square filtering to obtain a fused high-resolution color image; and finally, assigning the RGB channels of the three-dimensional points in the high-precision color-free point cloud P to obtain a real color point cloud P *. According to the method, richer texture detail information of the high-precision key part is reserved, and the measurement precision and the measurement speed are improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Circulating minimization seismic data reconstruction method based on continuous operator splitting
ActiveCN113341460AAchieve high-precision reconstructionSimple processSeismic signal processingData miningData reconstruction
The invention provides a circulating minimization seismic data reconstruction method based on continuous operator splitting, and the method comprises the steps: obtaining collected original seismic data, and adaptively extracting an observation operator from the original seismic data; constructing an optimization problem of seismic data reconstruction according to an inversion theory based on the original seismic data and the observation operator; converting the constructed reconstruction optimization problem into a dual sub-problem and an original sub-problem by adopting a serialization strategy and a variational operator splitting method; minimizing the dual sub-problem by using a near gradient, minimizing the original sub-problem by using a non-local mean value, and continuously performing circulating until a convergence condition is met, so as to obtain an optimal reconstruction feasible solution; and keeping the original seismic data unchanged, and placing the optimal reconstruction feasible solution at an unobserved position to achieve the reconstruction of the seismic data. The method has high flexibility and adaptability, under-sampled seismic data can be reconstructed with high efficiency and high precision, and the continuity of seismic reflection is effectively improved.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Shaft end grounding monocular reconstruction system and method for concentric quadratic curve epipolar geometry
PendingCN111174725ARealize 3D reconstructionExcellent internal and external parametersUsing optical meansErbium lasersLaser
The invention discloses a shaft end grounding monocular reconstruction system and method for concentric quadratic curve epipolar geometry, and aims to solve the problem of the shaft end grounding monocular detection for concentric quadratic curve epipolar geometry. The concentric quadratic curve epipolar geometry shaft end grounding monocular reconstruction system is mainly composed of a base (1),a supporting rod (2), a camera connecting rod (3), a camera (4), a laser (5), a laser fixing block (6), a supporting rod fixing block (7), a two-dimensional target plate (8), a camera fixing block (9), a linear sliding table (10) and a laser connecting rod (12). The two-dimensional target plate (8) is a flat plate with a concentric quadratic curve pasted on the surface, and the supporting rod fixing block (7) is a cuboid iron block provided with two circular through holes with the axes perpendicular to each other and provided with circular through holes in the two ends respectively. The shaftend grounding monocular reconstruction system and method for concentric quadratic curve epipolar geometry are simple in structure and reliable in performance.
Owner:JILIN UNIV
A Joint Method for 3D Temperature Reconstruction Based on Refocused Image of Flame Light Field
ActiveCN109115348BHigh precisionImprove accuracySensing radiation from gases/flamesPyrometry using electric radation detectorsImaging processingPoint spread function
Owner:HARBIN INST OF TECH
A sound field reconstruction method for a surface of revolution based on near-field acoustic holography
ActiveCN111707353BAchieve high-precision reconstructionRealize visual displaySubsonic/sonic/ultrasonic wave measurementThree-dimensional spaceSound pressure
Owner:XI AN JIAOTONG UNIV
High-precision step surface shape measurement method and device based on spectral confocal
ActiveCN113029031AHigh precisionStrong stabilityUsing optical meansThree dimensional motionSurface shape
The invention provides a high-precision step surface shape measurement method based on spectral confocal. The method comprises the following steps: irradiating a line spectrum by using a scanning probe; dividing the upper surface of the measurement object into a plurality of unit areas with corresponding widths according to the scanning width of the scanning line spectrum; enabling the line spectrum to move from the section of one end of the unit area to the section of the other end in the direction perpendicular to the scanning motion direction of the three-dimensional motion platform for primary scanning, rotating the scanning probe and the line spectrum by an angle theta and moved to the initial position, and enabling the scanning probe to move from the section of one end of the unit area to the section of the other end for secondary scanning; collecting measurement data of primary scanning and measurement data of secondary scanning; calibrating the measurement data of the primary scanning of the same unit area by using the measurement data of the secondary scanning of the same unit area; and reconstructing the three-dimensional shape of the upper surface of the measured object by using the calibrated measurement data subjected to preliminary scanning. The invention further provides a high-precision step surface shape measuring device based on spectral confocal.
Owner:CENT SOUTH UNIV
High-precision step-by-step surface shape measurement method and device based on spectral confocal
The invention provides a high-precision step-by-step surface profile measurement method based on spectral confocal, including: using a scanning probe to irradiate the line spectrum; according to the scanning width of the scanning line spectrum, dividing the upper surface of the measurement object into a plurality of corresponding width The unit area; the line spectrum is perpendicular to the scanning movement direction of the three-dimensional motion platform and moves from one end section of the unit area to the other end section for preliminary scanning. The scanning probe and the line spectrum are rotated by an angle θ and moved to the initial position. The scanning probe moves from the unit area The section at one end of the section moves to the other section to perform a second scan, collect the measurement data of the preliminary scan and the measurement data of the second scan; use the measurement data of the second scan of the same unit area to calibrate the measurement data of the preliminary scan of the same unit area; The three-dimensional topography of the upper surface of the measurement object is reconstructed from the measurement data of the preliminary scan after calibration. The invention also provides a high-precision step-by-step surface shape measurement device based on spectral confocal.
Owner:CENT SOUTH UNIV
Global computing imaging method based on focusing stack monomer data subset architecture
PendingCN111598997AImprove computing efficiencyAchieve high-precision reconstruction3D modellingPattern recognitionComputer graphics (images)
The invention discloses a global computing imaging method based on a focusing stack monomer data subset architecture. The method comprises the following steps: 1, finding out a scene image with the maximum focusing measure from scene image focusing stack data; 2, dividing area images corresponding to all single areas in the scene image; 3, finding out a single body region on the single body regionimage of the scene image with the maximum focusing measure; 4, finding out the focusing stack data of the jth monomer by utilizing the monomer region; 5, selecting a representative region in the monomer region, and screening out V scene images from the I scene images of the focusing stack data of the jth monomer to obtain a vth image of the jth monomer and a focusing stack monomer data subset; 6,carrying out depth reconstruction and full-focus imaging on the single body; 7, optimizing local consistency; 8, carrying out global fusion. According to the method, the calculation efficiency of focus stack reconstruction can be improved, and high-precision reconstruction of the three-dimensional scene monomer is realized.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com