Automatic land-cover update approach integrating iterative training sample selection and a markov random field model

Remote Sensing Letters

Volumn 5, Issue 2, 2014, Pages 148-156

  Jia, Kun ^a   Liang, Shunlin ^a,b   Wei, Xiangqin ^c   Zhang, Lei ^c   Yao, Yunjun ^a   Gao, Shuai ^c  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF MARYLAND   (United States)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MARKOV PROCESSES; SAMPLING;

AUTOMATIC APPROACHES; CLASSIFICATION ACCURACY; MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELD MODELS; OVERALL ACCURACIES; SALT-AND-PEPPER NOISE; TRAINING SAMPLE; TRAINING SAMPLE SELECTION;

REMOTE SENSING;

ACCURACY ASSESSMENT; AUTOMATION; DATA SET; LAND COVER; MARKOV CHAIN; NOISE; NUMERICAL MODEL; REMOTE SENSING;

BEIJING [CHINA]; CHINA;

EID: 84896357172     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2014.889862     Document Type: Article

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