Schmitt, Andreas und Wendleder, Anna und Hinz, Stefan (2015) The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation. ISPRS Journal of Photogrammetry and Remote Sensing, 102, Seiten 122-139. Elsevier. doi: 10.1016/j.isprsjprs.2015.01.007. ISSN 0924-2716.
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Kurzfassung
As the number of space-borne SAR sensors increases, a rising number of different SAR acquisition modes is in use, resulting in a higher variation within the image products. This variability in acquisition geometry, radiometry, and last but not least polarimetry raises the need for a consistent SAR image description incorporating all available sensors and acquisition modes. This paper therefore introduces the framework of the Kennaugh elements to comparably represent all kinds of multi-scale, multi-temporal, multi-polarized, multi-frequency, and hence, multi-sensor data in a consistent mathematical framework. Furthermore, a novel noise model is introduced that estimates the significance and thus the (polarimetric) information content of the Kennaugh elements. This facilitates an advanced filtering approach, called multi-scale multi-looking, which is shown to improve the radiometric accuracy while preserving the geometric resolution of SAR images. The proposed methodology is finally demonstrated using sample applications that include TerraSAR-X (X-band), Envisat-ASAR, RADARSAT-2 (C-band) and ALOS-PALSAR (L-band) data as well as the combination of all three frequencies. Thus the suitability of the Kennaugh element framework for practical use in proved for advanced SAR remote sensing.
elib-URL des Eintrags: | https://elib.dlr.de/102225/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation | ||||||||||||||||
Autoren: |
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Datum: | April 2015 | ||||||||||||||||
Erschienen in: | ISPRS Journal of Photogrammetry and Remote Sensing | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 102 | ||||||||||||||||
DOI: | 10.1016/j.isprsjprs.2015.01.007 | ||||||||||||||||
Seitenbereich: | Seiten 122-139 | ||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||
ISSN: | 0924-2716 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | SAR, Multi-temporal, Multi-sensor, Multi-frequency, Multi-polarized, Normalization, Change Detection, Polarimetric Decomposition, Image Enhancement, Multi-scale, Multi-looking, consistent framework | ||||||||||||||||
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 Technologie Experimente TSX und TDX (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||||||
Hinterlegt von: | Schmitt, Andreas | ||||||||||||||||
Hinterlegt am: | 15 Jan 2016 11:59 | ||||||||||||||||
Letzte Änderung: | 28 Nov 2023 09:20 |
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