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

• Published in: Remote sensing of environment Vol. 311; p. 114290
• Main Authors: Li, Ziming, Chen, Bin, Wu, Shengbiao, Su, Mo, Chen, Jing M., Xu, Bing
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.09.2024
• Subjects: artificial intelligence; automation; China; Deep learning; environment; Geospatial big data; land use; Remote sensing; Sample; spatial data; sustainable development; Urban land use type; China; Deep learning; Urban land use type; Sample; Remote sensing; Geospatial big data

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. N...