Informal settlement extraction from high resolution satellite images using mathematical morphology and deep learning based approaches

Abstract

newlineAs the worldwide urban population increases due to the influx of rural newlinemigrants, most cities in emerging nations are confronted with the formation and newlineexpansion of informal settlements. Approximately one-fourth of the global newlineurban population lives in informal settlements at present. Despite the fact that newlinethe expansion of informal settlements affects residential land-use planning, newlineidentification of informal settlements is important for urban analysis, disaster newlinemanagement, land cover change assessment and updating geographical newlinedatabases. But researchers are confronted with challenges in identifying newlineaccurate remote sensing-based informal settlement extraction approaches with newlinereliable and detailed information due to their microstructure, instability and newlinewide variety of textures newline newline