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Volumn 10, Issue 1, 2013, Pages 125-129

An energy-driven total variation model for segmentation and classification of high spatial resolution remote-sensing imagery

Author keywords

Classification; High resolution; Object based; Segmentation; Total variation (TV)

Indexed keywords

CLUSTERING SEGMENTATION; EXPECTATION MAXIMIZATION; HIGH RESOLUTION; HIGH SPATIAL RESOLUTION; OBJECT BASED; OBJECT-BASED CLASSIFICATIONS; PROCESSING OPERATIONS; TOTAL VARIATION;

EID: 84887502815     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2012.2194694     Document Type: Article
Times cited : (10)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.