Change Detection Based on Conditional Random Field with Region Connection Constraints in High-Resolution Remote Sensing Images

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

Volumn 9, Issue 8, 2016, Pages 3478-3488

  Zhou, Licun ^a   Cao, Guo ^a   Li, Yupeng ^a   Shang, Yanfeng ^b  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b INSTITUTE OF FORENSIC SCIENCE   (China)

Author keywords

Change detection; conditional random field (CRF); connected region; contextual information; fuzzy C means (FCM); high resolution (HR) remote sensing image

Indexed keywords

CLUSTERING ALGORITHMS; FUZZY CLUSTERING; FUZZY SYSTEMS; ITERATIVE METHODS; RANDOM PROCESSES;

CHANGE DETECTION; CONDITIONAL RANDOM FIELD; CONNECTED REGION; CONTEXTUAL INFORMATION; FUZZY C MEAN; REMOTE SENSING IMAGES;

REMOTE SENSING;

ALGORITHM; DETECTION METHOD; FUZZY MATHEMATICS; IMAGE RESOLUTION; NUMERICAL MODEL; PIXEL; REMOTE SENSING;

EID: 84955091227     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2514610     Document Type: Article

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