Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends

Remote Sensing of Environment

Volumn 117, Issue , 2012, Pages 34-49

  Weng, Qihao ^a  

^a INDIANA STATE UNIVERSITY   (United States)

Author keywords

Artificial neural networks; Impervious surfaces; Object oriented method; Pixel based algorithms; Remotely sensed data characteristics; Sub pixel based algorithms; Urban mapping requirements; Urban remote sensing

Indexed keywords

IMPERVIOUS SURFACE; OBJECT ORIENTED METHOD; REMOTELY SENSED DATA; SUB PIXELS; URBAN MAPPING; URBAN REMOTE SENSING;

ALGORITHMS; ESTIMATION; EXPERT SYSTEMS; GEOMETRY; IMAGE ANALYSIS; IMAGE RESOLUTION; INFORMATION MANAGEMENT; NEURAL NETWORKS; OPTICAL RADAR; PIXELS; REMOTE SENSING; RESEARCH; URBAN PLANNING;

PHOTOMAPPING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL CHANGE; GEOMETRY; MAGNITUDE; NATURE-SOCIETY RELATIONS; NUMERICAL MODEL; PIXEL; REGRESSION ANALYSIS; REMOTE SENSING; RESEARCH WORK; RESOLUTION; RESOURCE MANAGEMENT; SATELLITE DATA; SPATIAL ANALYSIS; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; URBAN AREA; URBAN PLANNING; VEGETATION STRUCTURE;

EID: 84855458471     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.02.030     Document Type: Article

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