An automated method for global urban area mapping by integrating ASTER satellite images and GIS data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 6, Issue 2, 2013, Pages 1004-1019

  Miyazaki, Hiroyuki ^a   Shao, Xiaowei ^a   Iwao, Koki ^b   Shibasaki, Ryosuke ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

ASTER VNIR; learning with local and global consistency; logistic regression; urban area mapping

Indexed keywords

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; ASTER/VNIR; AUTOMATED CLASSIFICATION; GLOBAL CONSISTENCY; LOGISTIC REGRESSIONS; SUPERVISED CLASSIFICATION; URBAN AREAS; VISIBLE AND NEAR INFRARED;

CLASSIFICATION (OF INFORMATION); DATA INTEGRATION; LOGISTICS; MAPPING; RADIOMETERS; REGRESSION ANALYSIS; SATELLITES;

ITERATIVE METHODS;

ASTER; GIS; IMAGE CLASSIFICATION; MAPPING METHOD; REGRESSION ANALYSIS; SATELLITE DATA; SATELLITE IMAGERY; URBAN AREA;

EID: 84877927157     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2226563     Document Type: Article

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