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The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation

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/
Document Type:Article
Title:The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, AndreasAndreas.Schmitt (at) dlr.deUNSPECIFIED
Wendleder, Annaanna.wendleder (at) dlr.deUNSPECIFIED
Hinz, Stefanstefan.hinz (at) kit.eduUNSPECIFIED
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 - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Technologie Experimente TSX und TDX
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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