Impacts of feature selection for urban impervious surface extraction using optical image and SAR data

4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings

Volumn , Issue , 2016, Pages 419-423

  Fu, Huyan ^a,b   Shao, Zhenfeng ^a   Tu, Conghuan ^c   Zhang, Qian ^c  

^a WUHAN UNIVERSITY   (China)

^b CHINESE ACADEMY OF SURVEYING AND MAPPING   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

extraction; Feature; impervious surface; optical image; SAR data

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; GEOMETRICAL OPTICS; IMAGE PROCESSING; OBSERVATORIES; RADAR IMAGING; REMOTE SENSING; TREES (MATHEMATICS);

CLASSIFICATION AND REGRESSION TREE; FEATURE; IMPERVIOUS SURFACE; MULTISOURCE REMOTE SENSING DATA; OBJECT BASED IMAGE ANALYSIS; OPTICAL IMAGE; SAR DATA; URBAN IMPERVIOUS SURFACES;

DATA MINING;

EID: 84987941906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EORSA.2016.7552842     Document Type: Conference Paper

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