Improving urban change detection from multitemporal SAR images using PCA-NLM

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 4, 2013, Pages 2032-2041

  Yousif, Osama ^a   Ban, Yifang ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Change detection; image denoising; multitemporal synthetic aperture radar (SAR); nonlocal means (NLM); speckle; urban

Indexed keywords

CHANGE DETECTION; MULTI-TEMPORAL; MULTI-TEMPORAL SAR IMAGES; MULTITEMPORAL SYNTHETIC APERTURE RADAR IMAGES; NON LOCAL MEANS (NLM); PRINCIPLE COMPONENT ANALYSIS; QUALITATIVE AND QUANTITATIVE ANALYSIS; URBAN;

ADAPTIVE FILTERS; ALGORITHMS; IMAGE DENOISING; PRINCIPAL COMPONENT ANALYSIS; SIGNAL DETECTION; SPECKLE;

SYNTHETIC APERTURE RADAR;

ACCURACY ASSESSMENT; ALGORITHM; DATA SET; ESTIMATION METHOD; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; RADAR IMAGERY; REGRESSION ANALYSIS; SPATIAL ANALYSIS; SYNTHETIC APERTURE RADAR; TEMPORAL ANALYSIS;

BEIJING [CHINA]; CHINA; SHANGHAI;

EID: 84875648585     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2245900     Document Type: Article

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