Urban Building Density Estimation From High-Resolution Imagery Using Multiple Features and Support Vector Regression

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

Volumn 10, Issue 7, 2017, Pages 3265-3280

  Zhang, Tao ^a   Huang, Xin ^a   Wen, Dawei ^a   Li, Jiayi ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Building density; feature selection; mathematical morphology; remote sensing; support vector regression (SVR); texture analysis

Indexed keywords

BUILDINGS; DEVELOPING COUNTRIES; GEOGRAPHICAL REGIONS; MEAN SQUARE ERROR; REGRESSION ANALYSIS;

ENVIRONMENTAL PARAMETER; FEATURE SELECTION METHODS; HIGH RESOLUTION IMAGERY; QUANTITATIVE ESTIMATION; RECURSIVE FEATURE ELIMINATION; ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION MODELS;

FEATURE EXTRACTION;

BUILDING; DATA SET; DEVELOPING WORLD; GEOGRAPHICAL REGION; MAPPING; MEGACITY; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SUPPORT VECTOR MACHINE; URBAN AREA; URBAN MORPHOLOGY;

CHINA;

EID: 85014864104     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2669217     Document Type: Article

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