PolSAR data segmentation by combining tensor space cluster analysis and markovian framework

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 1, 2010, Pages 210-214

  Wang, Yinghua ^a   Han, Chongzhao ^a   Tupin, Florence ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CNRS   (France)

Author keywords

Cluster analysis; Image segmentation; Markov random field (MRF); Polarimetric synthetic aperture radar (PolSAR); Riemannian manifold

Indexed keywords

COVARIANCE MATRICES; DATA SEGMENTATION; DATA SPACE; EUCLIDEAN SPACES; GRAPH-CUT; HERMITIANS; MARKOV RANDOM FIELD; MARKOVIAN; MATRIX; MEAN SHIFT ALGORITHM; MRF FRAMEWORK; OVERLAP RATE; POLARIMETRIC SYNTHETIC APERTURE RADARS; POSITIVE DEFINITE; RIEMANNIAN FRAMEWORK; RIEMANNIAN MANIFOLD; SEGMENTATION METHODS; SEGMENTATION RESULTS; SYNTHETIC IMAGES; TENSOR SPACES; TOTAL ENERGY;

CLUSTER ANALYSIS; COVARIANCE MATRIX; DIGITAL IMAGE STORAGE; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; IMAGING SYSTEMS; POLARIMETERS; POLAROGRAPHIC ANALYSIS; RADAR; STRUCTURAL FRAMES; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

TENSORS;

EID: 75449118923     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2031660     Document Type: Article

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