Capturing the diversity of deprived areas with image-based features: The case of Mumbai

Remote Sensing

Volumn 9, Issue 4, 2017, Pages

  Kuffer, Monika ^a   Pfeffer, Karin ^b   Sliuzas, Richard ^a   Baud, Isa ^b   van Maarseveen, Martin ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Deprivation; Informal settlement; Logistic regression; Mumbai; Random forest classifier; Slum; Urban remote sensing

Indexed keywords

DECISION TREES; HOUSING; IMAGE SEGMENTATION; POPULATION STATISTICS; REGRESSION ANALYSIS; REMOTE SENSING;

DEPRIVATION; INFORMAL SETTLEMENTS; LOGISTIC REGRESSIONS; MUMBAI; RANDOM FOREST CLASSIFIER; SLUM; URBAN REMOTE SENSING;

IMAGE ANALYSIS;

EID: 85029394837     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9040384     Document Type: Article

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