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| 講演名 | 2023-12-08 09:10 Large-Scale Urban Mapping Using Earth Observation Data: A Systematic Review ○Ahmad Luthfi Hadiyanto・Ahmad Maryanto・Muchammad Soleh・Farikhotul Chusnayah・Deni Kartika・Kurdianto（BRIN）  SANE2023-66 |
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| 抄録 | （和） | Large-scale urban mapping using remote sensing data may provide detailed information represented as individual objects or parcels. Unfortunately, there is no fixed guidance to build the map effectively. A systematic review is performed, showing that remote sensing data has been well used for land cover mapping and 3D modeling using deep learning. Aerial and satellite images at ≤ 2m spatial resolution, Lidar, and SAR are common data sources. There are still limitations in land use (LU) and urban structural unit (USU) mapping; therefore, future work may explore deep learning with more accurate datasets to better distinguish LU and USU classes. |
| （英） | Large-scale urban mapping using remote sensing data may provide detailed information represented as individual objects or parcels. Unfortunately, there is no fixed guidance to build the map effectively. A systematic review is performed, showing that remote sensing data has been well used for land cover mapping and 3D modeling using deep learning. Aerial and satellite images at ≤ 2m spatial resolution, Lidar, and SAR are common data sources. There are still limitations in land use (LU) and urban structural unit (USU) mapping; therefore, future work may explore deep learning with more accurate datasets to better distinguish LU and USU classes. | |
| キーワード | （和） | Large-scale / Urban mapping / Land cover / Land use / Urban structural unit / / / |
| （英） | Large-scale / Urban mapping / Land cover / Land use / Urban structural unit / / / | |
| 文献情報 | 信学技報, vol. 123, no. 298, SANE2023-66, pp. 36-41, 2023年12月. | |
| 資料番号 | SANE2023-66 | |
| 発行日 | 2023-11-30 (SANE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| 著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します．(許諾番号：10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| PDFダウンロード | SANE2023-66 |
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