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Synthetic Aperture Radar (SAR) Techniques and Applications

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joint sparse reconstruction; interferometric inverse synthetic aperture radar; compressed sensing; near-field 3-D imaging; wide angle; synthetic aperture radar (SAR); convolutional neural networks (CNNs); deep learning (DL); ship classification; Doppler parameter estimation and compensation (DPEC); extended multiple aperture mapdrift (EMAM); very-high-squint airborne SAR imaging; spatial variance; the derivative of the Doppler rate; GB-SAR; MIMO radar; radar imaging; CSAR; anisotropy; aspect entropy; discrimination; wide angle SAR; LS-CS-Residual; aspect dependent; polarimetric synthetic aperture radar; total electron content; ionospheric electron density distribution; land subsidence; Radarsat-2 images; small baseline subset (SBAS) method; interferometric synthetic aperture radar (InSAR); inverse synthetic aperture radar (ISAR); moving ship; refocusing; fast minimum entropy; oceanic eddies; shear-wave-generated eddies; burgers-Rott vortex model; SAR image simulation; SAR system; efficient focusing of SAR data; inverse problem; remote sensing; SAR data-focusing; synthetic aperture radar; Singular Value Decomposition; blind deconvolution; signal processing; parameter estimation; computational modeling; SAR imaging; multi-angle SAR; improved RMA; SAR image fusion; wide-area surveillance; super-resolution; Doppler beam sharpening; ionosphere; P-band; reverse back-projection (ReBP); sliding spotlight; scintillation; SAR; 2CMV; change detection; optical flow; k-means; K-SVD; multi-pass squinted (MPS); azimuth sidelobes suppression; ground-based synthetic aperture radar (GBSAR); arc-scanning synthetic aperture radar (ArcSAR); interferometric ArcSAR; DEM assisted SAR imaging; deformation model; time series deformation; rheological parameter; highway; passive ISAR asteroid imaging; pulsar emission signal modeling; multi-angle/wide angle SAR; inverse SAR; ground-based SAR; ionospheric effects; SAR interferometry; SAR image analysis; SAR image change detection; SAR sea applications

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03936-123-6

País de edición

Suiza