Hoffmann, Eike Jens und Ali, Syed Mohsin und Zhu, Xiao Xiang (2021) Zooming into Uncertainties: Towards Fusing Multi Zoom Level Imagery for Urban Land Use Segmentation. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 1-4. IGARSS 2021, 2021-07-12 - 2021-07-16, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9554756.
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Kurzfassung
Urban land use prediction is an ill-posed problem from a remote sensing perspective. Some areas are easy to predict with aerial images, e.g. residential areas or industrial areas, whereas it is nearly impossible to predict land use in dense urban centers with highly mixed land use. In this study, we use a fully convolutional, Bayesian neural network for urban land use segmentation that yields predictions and pixel-wise uncertainty values side-by-side. By adding aleatoric uncertainty to the output of our model, we can assess how much the model benefits from the provided data. We train our network using a dataset from four metropolitan areas in the U.S. on two different zoom levels. Our results show that adding aleatoric uncertainty can improve the IoU scores if a sufficient amount of informative data is provided.
elib-URL des Eintrags: | https://elib.dlr.de/144212/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Zooming into Uncertainties: Towards Fusing Multi Zoom Level Imagery for Urban Land Use Segmentation | ||||||||||||||||
Autoren: |
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Datum: | 2021 | ||||||||||||||||
Erschienen in: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/IGARSS47720.2021.9554756 | ||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Urban Land Use, Semantic Segmentation Model, Uncertainty, Multi-Zoom Level | ||||||||||||||||
Veranstaltungstitel: | IGARSS 2021 | ||||||||||||||||
Veranstaltungsort: | Brussels, Belgium | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 12 Juli 2021 | ||||||||||||||||
Veranstaltungsende: | 16 Juli 2021 | ||||||||||||||||
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 - Fernerkundung u. Geoforschung, R - Künstliche Intelligenz | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
Hinterlegt von: | Hoffmann, Eike Jens | ||||||||||||||||
Hinterlegt am: | 30 Sep 2021 12:27 | ||||||||||||||||
Letzte Änderung: | 07 Jun 2024 09:57 |
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