UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images

arXiv:2403.02132v1 Announce Type: new
Abstract: Fine classification of city-scale buildings from satellite remote sensing imagery is a crucial research area with significant implications for urban planning, infrastructure development, and population distribution analysis. However, the task faces big challenges due to low-resolution overhead images acquired from high altitude space-borne platforms and the long-tail sample distribution of fine-grained urban building categories, leading to severe class imbalance problem. To address these issues, we propose a deep network approach to fine-grained classification of urban …

abstract acquired analysis arxiv big building buildings challenges city classification cs.cv development distribution fine-grained images infrastructure low network planning platforms population research satellite satellite images scale sensing space type urban urban planning