Deep Learning and Beyond: A Global Test of Urban Footprint Mapping Tools
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Deep Learning and Beyond: A Global Test of Urban Footprint Mapping Tools
Understanding how cities grow is vital for shaping sustainable urban futures--but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this challenge by evaluating the performance of various machine learning and deep learning algorithms for extracting urban footprints (UF) from high-resolution satellite images. Analyzing eight diverse cities, the research reveals that while traditional cla…
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