Application of Mixture Regression for Improved Polarimetric SAR Speckle Filtering

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 1, 2017, Pages 453-467

  Wang, Yanting ^a   Ainsworth, Thomas L ^a   Lee, Jong Sen ^b  

^a NAVAL RESEARCH LABORATORY   (United States)

^b Computational Physics Inc ^*  (United States)

Author keywords

Finite mixture model (FMM) regression; nonlocal mean (NLM) filter; Polarimetric SAR (PolSAR) speckle

Indexed keywords

IMAGE PROCESSING; IMAGE RESOLUTION; MIXTURES; POLARIMETERS; REGRESSION ANALYSIS; SPECKLE; STATISTICS; SYNTHETIC APERTURE RADAR;

ADAPTIVE SPECKLE FILTERS; FINITE MIXTURE MODELING; NON LOCAL MEANS (NLM); POLARIMETRIC SAR; SIMILARITY EVALUATION; SINGLE-LOOK COMPLEXES; STATISTICAL PROPERTIES; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

RADAR IMAGING;

ALGORITHM; DATA ACQUISITION; DATA ASSIMILATION; IMAGE PROCESSING; IMAGE RESOLUTION; NUMERICAL MODEL; REGRESSION ANALYSIS; SCATTERING; SPECKLE; SYNTHETIC APERTURE RADAR;

EID: 85002947745     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2608501     Document Type: Article

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