A comparison of advanced regression algorithms for quantifying urban land cover

Remote Sensing

Volumn 6, Issue 7, 2014, Pages 6324-6346

  Okujeni, Akpona ^a   van der Linden, Sebastian ^a   Jakimow, Benjamin ^a   Rabe, Andreas ^a   Verrelst, Jochem ^b   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Hyperspectral; Imaging spectrometry; Machine learning; Regression; Spatial resolution; Sub pixel mapping; Urban land cover

Indexed keywords

ALGORITHMS; DECISION TREES; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MAPPING; NEURAL NETWORKS; ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; IMAGE RESOLUTION; PIXELS; REGRESSION ANALYSIS;

HYPERSPECTRAL; IMAGING SPECTROMETRY; REGRESSION; SPATIAL RESOLUTION; SUB-PIXEL MAPPING; URBAN LAND COVER;

REGRESSION ANALYSIS; MAPPING;

EID: 84904498392     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6076324     Document Type: Article

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