Comparison of vector stacking, multi-SVMs fuzzy output, and multi-SVMs voting methods for multiscale VHR urban mapping

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 2, 2010, Pages 261-265

  Huang, Xin ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Fusion; High resolution; Morphological; Multiscale; Object based classification; Support vector machines (SVMs)

Indexed keywords

ALGORITHM VALIDATION; CLASS SEPARABILITY; CLASSIFICATION ,; CRISP CLASSIFICATION; DATA SETS; DIGITAL IMAGERY; FUZZY FUSION; FUZZY OUTPUT; HIGH RESOLUTION; HYPERSPECTRAL; IMAGING SPECTROMETERS; MORPHOLOGICAL; MORPHOLOGICAL FEATURES; MULTI-SCALE FEATURES; MULTISCALE FUSION; MULTISCALE INFORMATION; MULTISCALE REPRESENTATIONS; MULTISCALES; NEW HIGH; OBJECT BASED; PROBABILISTIC OUTPUT; QUICKBIRD; REFLECTIVE OPTICS; SPATIAL FEATURES; STRUCTURAL FEATURE; URBAN MAPPING; VERY HIGH RESOLUTION; VHR IMAGES; VOTING METHOD; WASHINGTON;

EXPERIMENTS; FUNCTIONAL ASSESSMENT; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 77951204124     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2032563     Document Type: Article

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