An ontology of slums for image-based classification

By D. Kohli, Richard Sliuzas, Norman Kerle, Alfred Stein. Computers, Environment and Urban Systems, 2012

295 citations recorded by the source corpus.

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Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges (2015, methodology): “In a spatial statistical context work has been done by Van de Vlag et al. (2005) and Van de Vlag and Stein (2006) on natural objects and Kohli et al. (2012) on slums.”
A review of regional science applications of satellite remote sensing in urban settings (2013, unknown): “The work of Kohli et al. (2012) attempts to ﬁll this gap by developing an ontological framework to conceptualize slums and to contribute to their detection and classiﬁcation using very high resolution imagery, though this approach still requires adaptation to local conditions.”
Slums from Space - 15 Years of Slum Mapping Using Remote Sensing (2016, methodology): “Such an ontology framework—split in three phases: specification, conceptualization and implementation [5]—provides a clear conceptual foundation for developing robust image-based indicators, facilitating global knowledge acquisition and comparisons for the development of a global slum inventory.”