A new change-detection method in high-resolution remote sensing images based on a conditional random field model

International Journal of Remote Sensing

Volumn 37, Issue 5, 2016, Pages 1173-1189

  Cao, Guo ^a   Zhou, Licun ^a   Li, Yupeng ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Change detection; conditional random field (CRF); fully connected CRF (FCCRF); fuzzy C means (FCM)

Indexed keywords

FUZZY SYSTEMS; INFERENCE ENGINES; PIXELS; REMOTE SENSING;

APPROXIMATE INFERENCE; CHANGE DETECTION; CONDITIONAL RANDOM FIELD; CONTEXTUAL INFORMATION; FULLY-CONNECTED CRF (FCCRF); FUZZY C MEAN; HIGH RESOLUTION REMOTE SENSING IMAGES; REMOTE SENSING IMAGES;

RANDOM PROCESSES;

ALGORITHM; DETECTION METHOD; FUZZY MATHEMATICS; IMAGING METHOD; NUMERICAL MODEL; PIXEL; REMOTE SENSING;

EID: 84961221440     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1148284     Document Type: Article

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