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Extracting Urban Deprivation Indicators Using Superspectral Very-High-Resolution Satellite Imagery.

, , , and . IGARSS, page 2114-2117. IEEE, (2021)

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Mapping slums and model population density using earth observation data and open source solutions., , , , , and . JURSE, page 1-4. IEEE, (2019)Gridded Urban Deprivation Probability from Open Optical Imagery and Dual-Pol Sar Data., , , , , and . IGARSS, page 2110-2113. IEEE, (2021)Mapping urban deprivation from Sentinel 1/2 using artificial intelligence and weakly labelled data., , , and . JURSE, page 1-4. IEEE, (2023)Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa., , , , and . JURSE, page 1-4. IEEE, (2017)Extracting Urban Deprivation Indicators Using Superspectral Very-High-Resolution Satellite Imagery., , , and . IGARSS, page 2114-2117. IEEE, (2021)EO-Based Low-Cost Frameworks to Address Global Urban Data GAPS on Deprivation and Multiple Hazards., , , , , , and . IGARSS, page 2106-2109. IEEE, (2021)Crater Detection using CGC - A New Circle Detection Method., and . ICPRAM (1), page 320-327. SciTePress, (2015)Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas., , , , , , and . Comput. Environ. Urban Syst., (2022)Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery., , , , , and . Remote. Sens., 11 (5): 597 (2019)Geo-Ethics in Slum Mapping., , , , , , and . IGARSS, page 5700-5703. IEEE, (2021)