He, Nanjun und Fang, Leyuan und Li, Shutao und Ghamisi, Pedram und Benediktsson, Jon Atli (2017) Hyperspectral images classification by fusing extinction profiles feature. In: IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS), Seiten 2267-2270. IEEE XPlore. IGARSS 2017, 2017-07-23 - 2017-07-28, Fort Worth, TX, USA. doi: 10.1109/IGARSS.2017.8127441. ISSN 2153-7003.
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Offizielle URL: http://ieeexplore.ieee.org/document/8127441/
Kurzfassung
Extinction profile (EP) is an effective feature extraction method which can well preserve the geometrical characteristics of a hyperspectral image (HSI) and by extracting the EP from first three independent components (ICs) of an HSI, three correlated and complementary groups of EP features can be constructed. In this paper, an EPs fusion (EPs-F) strategy is proposed for HSI classification by exploring spatial-spectral information within and among three EP features. In general, the EPs-F method includes two stages. In the first stage, within each EP feature, a superpixel-based composite kernel strategy is proposed to adaptively fuse the spatial information of EP and the spectral feature of HSI. Then, the obtained adaptive composite kernel is used to create a classification map for each EP. In the second stage, decision fusion is further applied on different classification maps to create the final classification result. Experiments on two real HSIs verify the effectiveness of the proposed EPs-F algorithm.
elib-URL des Eintrags: | https://elib.dlr.de/118213/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
Titel: | Hyperspectral images classification by fusing extinction profiles feature | ||||||||||||||||||||||||
Autoren: |
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Datum: | Juli 2017 | ||||||||||||||||||||||||
Erschienen in: | IEEE 2017 Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.1109/IGARSS.2017.8127441 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 2267-2270 | ||||||||||||||||||||||||
Verlag: | IEEE XPlore | ||||||||||||||||||||||||
ISSN: | 2153-7003 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Extinction profile (EP), feature extraction method, hyperspectral image (HSI) | ||||||||||||||||||||||||
Veranstaltungstitel: | IGARSS 2017 | ||||||||||||||||||||||||
Veranstaltungsort: | Fort Worth, TX, USA | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 23 Juli 2017 | ||||||||||||||||||||||||
Veranstaltungsende: | 28 Juli 2017 | ||||||||||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (alt), R - Optische Fernerkundung | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung | ||||||||||||||||||||||||
Hinterlegt von: | Zielske, Mandy | ||||||||||||||||||||||||
Hinterlegt am: | 12 Jan 2018 15:01 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:22 |
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