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Volumn 103, Issue , 2015, Pages 28-37

Spaceborne SAR data for global urban mapping at 30m resolution using a robust urban extractor

Author keywords

30m Resolution; ENVISAT ASAR; GLCM Textures; Global Urban Mapping; KTH Pavia Urban Extractor; Spaceborne SAR; Spatial Indices

Indexed keywords

DATA MINING; FORESTRY; MAPPING; SPACE-BASED RADAR; SUSTAINABLE DEVELOPMENT; TEXTURES;

EID: 84940007716     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.08.004     Document Type: Article
Times cited : (111)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.