Schmitt, Andreas und Wendleder, Anna (2016) Geometric and Polarimetric Sharpening of SAR Images by Kennaugh- and Schmittlet-based Multi-frequency Data Fusion. In: 11th European Conference on Synthetic Aperture Radar, EUSAR 2016, Seiten 1086-1089. VDE Verlag GMBH Berlin Offenbach, Germany. EUSAR 2016, 2016-06-07 - 2016-06-09, Hamburg. ISBN 978-3-8007-4221-9. ISSN 2198-3909.
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Kurzfassung
The joint use of diverse sensors is of major interest in the remote sensing community. As each sensor has its own characteristics in terms of geometric, radiometric and polarimetric resolution, it provides certain advantages and disadvantages for special applications. This contribution presents a way of image sharpening both in the geometric and polarimetric domain by joining the acquisitions of TerraSAR-X and RADARSAT-2. The image fusion is performed by the help of the Kennaugh element framework and the Schmittlet image enhancement. An unexpected high richness of detail characterizes the combined image and facilitates the following image interpretation like land cover classification.
elib-URL des Eintrags: | https://elib.dlr.de/106183/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Geometric and Polarimetric Sharpening of SAR Images by Kennaugh- and Schmittlet-based Multi-frequency Data Fusion | ||||||||||||
Autoren: |
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Datum: | Juni 2016 | ||||||||||||
Erschienen in: | 11th European Conference on Synthetic Aperture Radar, EUSAR 2016 | ||||||||||||
Referierte Publikation: | Nein | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Seitenbereich: | Seiten 1086-1089 | ||||||||||||
Verlag: | VDE Verlag GMBH Berlin Offenbach, Germany | ||||||||||||
Name der Reihe: | 11th European Conference on Synthetic Aperture Radar | ||||||||||||
ISSN: | 2198-3909 | ||||||||||||
ISBN: | 978-3-8007-4221-9 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Image enhancement, SAR, Sharpening, Image fusion, Schmittlets, Kennaugh framework, Multi-sensor, Multi-scale, Multi-directional, Polarimetry | ||||||||||||
Veranstaltungstitel: | EUSAR 2016 | ||||||||||||
Veranstaltungsort: | Hamburg | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 7 Juni 2016 | ||||||||||||
Veranstaltungsende: | 9 Juni 2016 | ||||||||||||
Veranstalter : | VDE | ||||||||||||
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 - TSX/TDX Missionsbetrieb | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||
Hinterlegt von: | Schmitt, Andreas | ||||||||||||
Hinterlegt am: | 12 Okt 2016 10:43 | ||||||||||||
Letzte Änderung: | 04 Nov 2024 14:07 |
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