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The utility of the co-occurrence matrix to extract slum areas from VHR imagery., , , and . JURSE, page 1-4. IEEE, (2015)EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards., , , , , , and . IGARSS, page 2106-2109. IEEE, (2021)The development of a morphological unplanned settlement index using very-high-resolution (VHR) imagery., , and . Comput. Environ. Urban Syst., (2014)The Missing Millions in Maps: Exploring Causes of Uncertainties in Global Gridded Population Datasets., , , , and . ISPRS Int. J. Geo Inf., 11 (7): 403 (2022)Spatial and Temporal Human Settlement Growth Differentiation with Symbolic Machine Learning for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study., , , , and . Remote. Sens., 12 (22): 3799 (2020)City nighttime light variations using ISS images., , , , and . JURSE, page 1-4. IEEE, (2017)Spatial patterns of slums: Comparing African and Asian cities., , , and . JURSE, page 1-4. IEEE, (2017)Transferability of Object-Oriented Image Analysis Methods for Slum Identification., , , , and . Remote. Sens., 5 (9): 4209-4228 (2013)Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas., , , , , , and . Comput. Environ. Urban Syst., (2022)An automated technique for basemap updating using UAV data., , , , and . JURSE, page 1-4. IEEE, (2017)