Qiu, Chunping und Schmitt, Michael und Ghamisi, Pedram und Mou, Lichao und Zhu, Xiao Xiang (2018) Feature importance analysis of Sentinel-2 imagery for large-scale Urban Local Climate Zone classification. In: 2018 IEEE International Geoscience and Remote Sensing Symposium, Seiten 1-4. IGARSS 2018, 2018-07-22 - 2018-07-27, Valencia, Spanien. doi: 10.1109/IGARSS.2018.8517732.
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Offizielle URL: https://ieeexplore.ieee.org/abstract/document/8517732
Kurzfassung
This paper evaluates different spectral-spatial features that can be extracted from Sentinel-2 imagery regarding their relevance for discriminating different Local Climate Zone (LCZ) classes. The features include spectral reflectance, spectral indices, Morphological Profiles (MPs), as well as Global Urban Footprint (GUF), the Open Street Map layers buildings and land use, and their combinations. Using a residual convolutional neural network (ResNet), a systematic analysis of feature importance is performed with a manually generated dataset distributed in Europe. The results of this evaluation are meant to provide guidance about the choice of both spectral and spatial features for the task of LCZ classifi- cation on a global scale. The results show that GUF and OSM can contribute to the classification performance, and ResNet relies less on additional features with the highest accuracy provided by the reflectance only.
elib-URL des Eintrags: | https://elib.dlr.de/120083/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Feature importance analysis of Sentinel-2 imagery for large-scale Urban Local Climate Zone classification | ||||||||||||||||||||||||
Autoren: |
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Datum: | Juli 2018 | ||||||||||||||||||||||||
Erschienen in: | 2018 IEEE International Geoscience and Remote Sensing Symposium | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.1109/IGARSS.2018.8517732 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Feature analysis, Sentinel-2, Urban Local Climate Zone, LCZ Classification | ||||||||||||||||||||||||
Veranstaltungstitel: | IGARSS 2018 | ||||||||||||||||||||||||
Veranstaltungsort: | Valencia, Spanien | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 22 Juli 2018 | ||||||||||||||||||||||||
Veranstaltungsende: | 27 Juli 2018 | ||||||||||||||||||||||||
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 | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||||||||||
Hinterlegt von: | Hoffmann, Eike Jens | ||||||||||||||||||||||||
Hinterlegt am: | 29 Mai 2018 10:15 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:24 |
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