Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data

Remote Sensing of Environment

Volumn 112, Issue 3, 2008, Pages 939-954

  Pu, Ruiliang ^a,b,c   Gong, Peng ^b,c   Michishita, Ryo ^d   Sasagawa, Todashi ^e  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF UTAH   (United States)

^e PASCO CORPORATION   (Japan)

Author keywords

Artificial neural networks; ASTER; Least square solution; Spectral mixture analysis; Urban surface component

Indexed keywords

NEURAL NETWORKS; RADIOMETERS; SPECTRUM ANALYZERS; VEGETATION;

LEAST SQUARE SOLUTION; SPECTRAL MIXTURE ANALYSIS; URBAN SURFACE COMPONENT;

SATELLITE IMAGERY;

AIRBORNE SENSING; ALGORITHM; ARTIFICIAL NEURAL NETWORK; ASTER; LEAST SQUARES METHOD; MAPPING METHOD; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; URBAN AREA;

ASIA; EURASIA; FAR EAST; HONSHU; JAPAN; KANAGAWA; KANTO; YOKOHAMA;

EID: 39749167939     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.07.005     Document Type: Article

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