The potential of linear discriminative Laplacian eigenmaps dimensionality reduction in polarimetric SAR classification for agricultural areas

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 86, Issue , 2013, Pages 124-135

  Shi, Lei ^a   Zhang, Lefei ^a   Zhao, Lingli ^a   Yang, Jie ^a   Li, PingXiang ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Dimensionality reduction; Polarimetric synthetic aperture radar; Supervised classification

Indexed keywords

ALGORITHMS; CROPS; EXPERIMENTS; FACE RECOGNITION; MODELS; POLARIMETERS; PRINCIPAL COMPONENT ANALYSIS; SOIL MOISTURE;

AIRBORNE SYNTHETIC APERTURE RADARS; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; DIMENSIONALITY REDUCTION; LAPLACIAN EIGENMAPS; LOCALITY PRESERVING PROJECTIONS; POLARIMETRIC SYNTHETIC APERTURE RADARS; SUPERVISED CLASSIFICATION;

SYNTHETIC APERTURE RADAR;

ACCURACY ASSESSMENT; AGRICULTURAL LAND; ALGORITHM; CLASSIFICATION; HOMOGENEITY; LINEARITY; PHOTOGRAMMETRY; REMOTE SENSING; SOIL MOISTURE; SYNTHETIC APERTURE RADAR;

EID: 84886422702     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.09.013     Document Type: Article

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