Deep learning for urban land use category classification: A review and experimental assessment

Mapping the distribution, pattern, and composition of urban land use categories plays a valuable role in understanding urban environmental dynamics and facilitating sustainable development. Decades of effort in land use mapping have accumulated a series of mapping approaches and land use products. New trends characterized by open big data and advanced artificial intelligence, especially deep learning, offer unprecedented opportunities for mapping land use patterns from regional to global scales. Combined with large amounts of geospatial big data, deep learning has the potential to promote land use mapping to higher levels of scale, accuracy, efficiency, and automation. Here, we comprehensively review the…