[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kang et al., 2020 - Google Patents

Multipass SAR interferometry based on total variation regularized robust low rank tensor decomposition

Kang et al., 2020

View PDF
Document ID
5290901523334966930
Author
Kang J
Wang Y
Zhu X
Publication year
Publication venue
IEEE Transactions on Geoscience and Remote Sensing

External Links

Snippet

Multipass SAR interferometry (InSAR) techniques based on meter-resolution spaceborne SAR satellites, such as TerraSAR-X or COSMO-SkyMed, provide 3D reconstruction and the measurement of ground displacement over large urban areas. Conventional methods such …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282Application of seismic models, synthetic seismograms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Li et al. Superpixel-based reweighted low-rank and total variation sparse unmixing for hyperspectral remote sensing imagery
Shi et al. Nonlocal compressive sensing-based SAR tomography
Kang et al. Multipass SAR interferometry based on total variation regularized robust low rank tensor decomposition
Zhang et al. Hyperspectral image denoising: From model-driven, data-driven, to model-data-driven
Qian et al. γ-Net: Superresolving SAR tomographic inversion via deep learning
Martin et al. Spatial-spectral preprocessing prior to endmember identification and unmixing of remotely sensed hyperspectral data
Kang et al. Object-based multipass InSAR via robust low-rank tensor decomposition
Sun et al. Automatic detection of volcanic surface deformation using deep learning
Zhou et al. CANet: An unsupervised deep convolutional neural network for efficient cluster-analysis-based multibaseline InSAR phase unwrapping
Zheng et al. Sparse and low-rank constrained tensor factorization for hyperspectral image unmixing
Kang et al. Robust object-based multipass InSAR deformation reconstruction
CN107016649A (en) A kind of vision data complementing method estimated based on local low-rank tensor
CN110139046B (en) Tensor-based video frame synthesis method
Liu et al. Linear time Principal Component Pursuit and its extensions using ℓ1 filtering
Jeong et al. Improved multiple matching method for observing glacier motion with repeat image feature tracking
Peng et al. Spatiotemporal reflectance fusion via tensor sparse representation
Zeng et al. Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion
Zhu et al. Nonlocal low-rank point cloud denoising for 3-D measurement surfaces
Su et al. Superpixel-based weighted collaborative sparse regression and reweighted low-rank representation for hyperspectral image unmixing
Mooers et al. Generative modeling of atmospheric convection
Yang et al. Joint angular-frequency distribution estimation of incoherently distributed wideband sources via low-rank matrix recovery
Sun et al. P/S wavefield separation using modified U-Net based on ConvNeXt architecture
CN101908211A (en) High spectral image fusion method based on variational method
Liang et al. Superpixel-based weighted sparse regression and spectral similarity constrained for hyperspectral unmixing
Abdallah et al. Automated deformation detection and interpretation using InSAR data and a multi-task ViT model