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Yuan, Xiangtian und Tian, Jiaojiao und Krauß, Thomas und Zhuo, Xiangyu und Reinartz, Peter (2023) Multi-layer Thematic Map Representation for Urban Understanding. In: 2023 Joint Urban Remote Sensing Event, JURSE 2023, Seiten 1-4. Institute of Electrical and Electronics Engineers. 2023 Joint Urban Remote Sensing Event (JURSE), 2023-05-17 - 2023-05-19, Heraklion, Greece. doi: 10.1109/JURSE57346.2023.10144177. ISBN 978-166549373-4. ISSN 2642-9535.
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Offizielle URL: https://ieeexplore.ieee.org/abstract/document/10144177
Kurzfassung
In this work, we present a proof of concept study of multi-layer thematic map generation. A novel framework is developed to extract a multi-layer thematic map that better represents urban land cover distributions. The Swin transformer obtains the preliminary semantic segmentation result for the tree and building; and Dense-U-Net-121 for the road. Subsequently, we recover the hidden information separately from three main urban semantic classes, namely building, tree, and road. The proposed workflow brings possibilities to an improved urban morphological representation.
| elib-URL des Eintrags: | https://elib.dlr.de/196651/ | ||||||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
| Titel: | Multi-layer Thematic Map Representation for Urban Understanding | ||||||||||||||||||||||||
| Autoren: |
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| Datum: | 17 Mai 2023 | ||||||||||||||||||||||||
| Erschienen in: | 2023 Joint Urban Remote Sensing Event, JURSE 2023 | ||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||||||
| DOI: | 10.1109/JURSE57346.2023.10144177 | ||||||||||||||||||||||||
| Seitenbereich: | Seiten 1-4 | ||||||||||||||||||||||||
| Verlag: | Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||
| Name der Reihe: | 2023 Joint Urban Remote Sensing Event (JURSE) | ||||||||||||||||||||||||
| ISSN: | 2642-9535 | ||||||||||||||||||||||||
| ISBN: | 978-166549373-4 | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | Thematic map, Swin Transformer, vision transformer, DSM, OSM | ||||||||||||||||||||||||
| Veranstaltungstitel: | 2023 Joint Urban Remote Sensing Event (JURSE) | ||||||||||||||||||||||||
| Veranstaltungsort: | Heraklion, Greece | ||||||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
| Veranstaltungsbeginn: | 17 Mai 2023 | ||||||||||||||||||||||||
| Veranstaltungsende: | 19 Mai 2023 | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Synergieprojekt Digitaler Atlas 2.0, V - Digitaler Atlas 2.0, D - Digitaler Atlas 2.0 | ||||||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||||||
| Hinterlegt von: | Yuan, Xiangtian | ||||||||||||||||||||||||
| Hinterlegt am: | 21 Aug 2023 10:13 | ||||||||||||||||||||||||
| Letzte Änderung: | 24 Apr 2024 20:56 |
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