Abstract
Buildings are essential components of urban areas. While research on the extraction and 3D reconstruction of buildings is widely conducted, information on the fine-grained roof types of buildings is usually ignored. This limits the potential of further analysis, e.g., in the context of urban planning applications. The fine-grained classification of building roof types from satellite images is a highly challenging task due to ambiguous visual features within the satellite imagery. The lack of corresponding fine-grained building classification datasets further increases the difficulty.
| Original language | English |
|---|---|
| Pages | 94-97 |
| Number of pages | 4 |
| Volume | 11 |
| No. | 1 |
| Specialist publication | IEEE geoscience and remote sensing magazine |
| DOIs | |
| Publication status | Published - 31 Mar 2023 |
Keywords
- 2023 OA procedure
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