
A MACHINE LEARNING APPROACH FOR URBAN AREA MAPPING
(STEF92 Technology, 2021-12-20, Ana-Ioana Breaban, Valeria-Ersilia Oniga, Florian Stătescu)
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The accelerated evolution of the anthropogenic land use together with the involved dynamics of the land use changes has deepen its environmental impact and increased the population demands. The usage of satellite images became in the last decades a complementary method for obtaining structural information on the urban land use due to major developments in domains such as remote sensing, geographic information systems and photogrammetry. Accurate information on urban built-up area is essential for multiple key area...

