Target detection with semisupervised kernel orthogonal subspace projection

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 11, 2009, Pages 3822-3833

  Capobianco, Luca ^a   Garzelli, Andrea ^a   Camps Valls, Gustavo ^a  

^a NONE

Author keywords

Graph; Kernel method (KM); Kernel orthogonal subspace projection (KOSP); Manifold learning; Regularization; Semisupervised learning (SSL); Target detection

Indexed keywords

GRAPHIC METHODS; IMAGE ENHANCEMENT; PATTERN MATCHING; RADAR TARGET RECOGNITION; SPECTROSCOPY;

GRAPH; KERNEL METHOD; KERNEL ORTHOGONAL SUBSPACE PROJECTION; KERNEL-METHODS; MANIFOLD LEARNING; ORTHOGONAL SUBSPACE PROJECTION; REGULARISATION; SEMI-SUPERVISED LEARNING; SEMISUPERVISED LEARNING; TARGETS DETECTION;

MATCHED FILTERS;

ALGORITHM; COST-BENEFIT ANALYSIS; CROP PLANT; DATA SET; DETECTION METHOD; GRAPHICAL METHOD; IDENTIFICATION METHOD; IMAGE ANALYSIS; NOISE; PERFORMANCE ASSESSMENT;

EID: 70350676140     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2020910     Document Type: Article

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