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Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery., , , , , , , , and . Remote. Sens., 11 (18): 2082 (2019)An ontology of slums for image-based classification., , , and . Comput. Environ. Urban Syst., 36 (2): 154-163 (2012)Comparing Human Versus Machine-Driven Cadastral Boundary Feature Extraction., , , and . Remote Sensing, 11 (14): 1662 (2019)Transferability of Object-Oriented Image Analysis Methods for Slum Identification., , , , and . Remote. Sens., 5 (9): 4209-4228 (2013)Coupling Uncertainties with Accuracy Assessment in Object-Based Slum Detections, Case Study: Jakarta, Indonesia., , , and . Remote. Sens., 9 (11): 1164 (2017)Analysing Urban Development Patterns in a Conflict Zone: A Case Study of Kabul., , and . Remote. Sens., 12 (21): 3662 (2020)Accounting for Training Data Error in Machine Learning Applied to Earth Observations., , , , , , , , , and 10 other author(s). Remote. Sens., 12 (6): 1034 (2020)The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator., , , , , , and . ISPRS Int. J. Geo Inf., 7 (11): 428 (2018)Integrating Remote Sensing and Street View Imagery for Mapping Slums., , , , and . ISPRS Int. J. Geo Inf., 11 (12): 631 (December 2022)Uncertainty analysis for image interpretations of urban slums., , and . Comput. Environ. Urban Syst., (2016)