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Volumn 101, Issue 3, 2013, Pages 798-830

Point Target classification via fast lossless and sufficient Ω-Ψ-φ invariant decomposition of high-resolution and fully polarimetric SAR/ISAR data

Author keywords

Automatic target classification; automatic target recognition; classification algorithm; data mining; decomposition theorem; depolarization effect; deterministic processes; Earth surface; eigenvalues and eigenfunctions; Einstein photon circular polarization; Faraday rotation; geophysics computing; invariant decomposition; lunar surface; matrix decomposition; orientation invariant parameters; particle characterization of radio scattering theory; polarimetry; polarization; polarization transformation properties; radar; radar cross section (RCS); radar polarimetry; radio scattering models; remote sensing by radar; Sinclair matrix; synthetic aperture radar; target decomposition; target scattering characterization; vectors

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CIRCULAR POLARIZATION; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA MINING; DEPOLARIZATION; DOMAIN DECOMPOSITION METHODS; EIGENVALUES AND EIGENFUNCTIONS; ELLIPSOMETRY; FARADAY EFFECT; LINEAR TRANSFORMATIONS; MATRIX ALGEBRA; METADATA; POLARIMETERS; POLARIZATION; RADAR; RADAR CROSS SECTION; REMOTE SENSING; SIGNAL PROCESSING; SPACE-BASED RADAR; SYNTHETIC APERTURE RADAR; VECTORS;

EID: 84874529624     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2012.2227894     Document Type: Article
Times cited : (18)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.