Schmitt, Andreas and Wendleder, Anna and 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, pp. 122-139. Elsevier. ISSN 0924-2716.
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Abstract
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.
Item URL in elib: | https://elib.dlr.de/102225/ | ||||||||||||
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Document Type: | Article | ||||||||||||
Title: | The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation | ||||||||||||
Authors: |
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Date: | April 2015 | ||||||||||||
Journal or Publication Title: | ISPRS Journal of Photogrammetry and Remote Sensing | ||||||||||||
Refereed publication: | Yes | ||||||||||||
Open Access: | No | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | Yes | ||||||||||||
In ISI Web of Science: | Yes | ||||||||||||
Volume: | 102 | ||||||||||||
Page Range: | pp. 122-139 | ||||||||||||
Publisher: | Elsevier | ||||||||||||
ISSN: | 0924-2716 | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | SAR, Multi-temporal, Multi-sensor, Multi-frequency, Multi-polarized, Normalization, Change Detection, Polarimetric Decomposition, Image Enhancement, Multi-scale, Multi-looking, consistent framework | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Space | ||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||
DLR - Research theme (Project): | R - Vorhaben Technologie Experimente TSX und TDX (old) | ||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Land Surface | ||||||||||||
Deposited By: | Schmitt, Andreas | ||||||||||||
Deposited On: | 15 Jan 2016 11:59 | ||||||||||||
Last Modified: | 06 Sep 2019 15:28 |
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