Improving SAR-based urban change detection by combining MAP-MRF classifier and nonlocal means similarity weights

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 10, 2014, Pages 4288-4300

  Yousif, Osama ^a   Ban, Yifang ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Change detection; Markov random field (MRF); Multitemporal sar images; Nonlocal means (NLM); Speckle; Urban.

Indexed keywords

ALGORITHMS; GEOMETRICAL OPTICS; MARKOV PROCESSES; NORMAL DISTRIBUTION; PROBABILITY; REMOTE SENSING; SIGNAL DETECTION; SPECKLE; SYNTHETIC APERTURE RADAR;

CHANGE DETECTION; MARKOV RANDOM FIELDS; MULTI-TEMPORAL SAR IMAGES; NON LOCAL MEANS (NLM); URBAN;

STRUCTURAL FRAMES;

ALGORITHM; DETECTION METHOD; GAUSSIAN METHOD; MARKOV CHAIN; PROBABILITY; REMOTE SENSING; SATELLITE DATA; SYNTHETIC APERTURE RADAR; URBAN AREA;

EID: 84920195559     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2347171     Document Type: Article

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