Effective Mapping of Urban Areas Using ENVISAT ASAR, Sentinel-1A, and HJ-1-C Data

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 6, 2017, Pages 891-895

  Zhou, Shengxiu ^a,b   Deng, Yunkai ^a   Wang, Robert ^a   Li, Ning ^a   Si, Qi ^a,b  

^a INSTITUTE OF ELECTRONICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Density based spatial clustering of applications with noise (DBSCAN); synthetic aperture radar (SAR); urban area mapping

Indexed keywords

CLUSTERING ALGORITHMS; MAPPING; RADAR; SYNTHETIC APERTURE RADAR;

ADVANCED SYNTHETIC APERTURE RADARS; ARBITRARY SHAPE; DENSITY-BASED SPATIAL CLUSTERING OF APPLICATIONS WITH NOISE; ENVISAT ASAR; IRREGULAR SHAPE; MAPPING OF URBAN AREAS; METROPOLITAN AREA; VALIDATION RESULTS;

URBAN GROWTH;

EID: 85018492677     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2686419     Document Type: Article

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