Spatial-attraction-based Markov random field approach for classification of high spatial resolution multispectral imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 2, 2014, Pages 489-493

  Zhang, Hua ^a   Shi, Wenzhong ^b   Wang, Yunjia ^a   Hao, Ming ^a   Miao, Zelang ^a,b  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Classification; High spatial resolution multispectral imagery (HSRMI); Markov random field (MRF); Spatial attraction

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLOR IMAGE PROCESSING; REMOTE SENSING;

ADAPTIVE WEIGHTS; CLASS LABELS; HIGH SPATIAL RESOLUTION; MARKOV RANDOM FIELDS; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTI-SPECTRAL IMAGERY; SPATIAL ATTRACTION; SPECTRAL-SPATIAL CLASSIFICATION;

MARKOV PROCESSES;

EID: 84896399116     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2268968     Document Type: Article

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