Journal Article10.1016/J.COMPENVURBSYS.2011.11.001
An ontology of slums for image - based classification
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TL;DR: An ontological framework to conceptualize slums using input from 50 domain-experts covering 16 different countries is developed and serves as a comprehensive basis for image-based classification of slums, in particular, using object-oriented image analysis (OOA) techniques.
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About: This article is published in Computers, Environment and Urban Systems. The article was published on 01 Mar 2012.
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Fuzzy B-spline optimization for urban slum three-dimensional reconstruction using ENVISAT satellite data
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