Zhang, Guichen und Cerra, Daniele und Müller, Rupert (2020) Improving the Classification in Shadowed Areas using Nonlinear Spectral Unmixing. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Seiten 1-4. IGARSS 2020, 2020-09-26 - 2020-10-02, Waikoloa, HI, USA. doi: 10.1109/IGARSS39084.2020.9324681. ISBN 978-172816374-1. ISSN 2153-6996.
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Kurzfassung
This paper presents a shadow restoration method based on the nonlinear mixture model. A shadowed spectrum is modeled by using a pure sunlit spectrum for the same material following physical assumptions. Regarding pure sunlit and shadowed spectra as endmembers, an unmixing process is then conducted pixel-wise using a nonlinear mixture model. Shadow pixels are restored by simulating their exposure to sunlight through a combination of selected sunlit endmembers spectra, weighted by abundance values. Experiments conducted on a real airborne hyperspectral image are eval- uated through spectra comparison and classification. In addition, a soft shadow map is generated, which quantifies the shadow intensity at the edges between sunlit and shadow areas.
elib-URL des Eintrags: | https://elib.dlr.de/186052/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Improving the Classification in Shadowed Areas using Nonlinear Spectral Unmixing | ||||||||||||||||
Autoren: |
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Datum: | 2020 | ||||||||||||||||
Erschienen in: | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
DOI: | 10.1109/IGARSS39084.2020.9324681 | ||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||
ISSN: | 2153-6996 | ||||||||||||||||
ISBN: | 978-172816374-1 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | shadow restoration, hyperspectral, spectral unmixing | ||||||||||||||||
Veranstaltungstitel: | IGARSS 2020 | ||||||||||||||||
Veranstaltungsort: | Waikoloa, HI, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 26 September 2020 | ||||||||||||||||
Veranstaltungsende: | 2 Oktober 2020 | ||||||||||||||||
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 - Optische Fernerkundung | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||
Hinterlegt von: | Zhang, Guichen | ||||||||||||||||
Hinterlegt am: | 06 Apr 2022 12:54 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:47 |
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