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Volumn , Issue , 2011, Pages 2888-2891

A novel approach for satellite image classification using local self-similarity

Author keywords

Classification; High resolution imagery; Local self similarity

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; DATA SETS; GEOMETRIC LAYOUT; GEOMETRICAL INFORMATIONS; HIGH RESOLUTION IMAGERY; HIGH SPATIAL RESOLUTION IMAGES; LOCAL FEATURE; LOCAL SELFSIMILARITY; LOW-LEVEL FEATURES; MAN MADE OBJECTS; REPETITIVE PATTERN; SATELLITE IMAGE CLASSIFICATION; SATELLITE IMAGES; SELF-SIMILARITIES; SPECTRAL CHARACTERISTICS; SPECTRAL INFORMATION; TEXTURE FEATURES;

EID: 80955136510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049818     Document Type: Conference Paper
Times cited : (4)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.