Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images

Remote Sensing Letters

Volumn 4, Issue 12, 2013, Pages 1185-1194

  Hao, Ming ^a   Zhang, Hua ^a   Shi, Wenzhong ^b   Deng, Kazhong ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE VECTOR ANALYSIS; CLUSTER MEMBERSHIPS; DIFFERENCE IMAGES; MARKOV RANDOM FIELDS; MEMBERSHIP PROBABILITY; NEIGHBOURHOOD PIXELS; REMOTELY SENSED IMAGES; UNSUPERVISED CHANGE DETECTION;

COLOR IMAGE PROCESSING; FUZZY SYSTEMS; IMAGE SEGMENTATION; MARKOV PROCESSES; PIXELS;

SIGNAL DETECTION;

ACCURACY ASSESSMENT; CLUSTER ANALYSIS; EXPERIMENTAL STUDY; FUZZY MATHEMATICS; IMAGE ANALYSIS; MAPPING; MARKOV CHAIN; NUMERICAL MODEL; REMOTE SENSING; VECTOR;

EID: 84890044760     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2013.858841     Document Type: Article

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