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Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery

Schmitt, Andreas and Brisco, Brian (2013) Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery. Water, 5 (3), pp. 1036-1051. Multidisciplinary Digital Publishing Institute (MDPI). ISSN 2073-4441


Official URL: http://www.mdpi.com/2073-4441/5/3/1036


One fundamental task in wetland monitoring is the regular mapping of (temporarily) flooded areas especially beneath vegetation. Due to the independence of weather and illumination conditions, Synthetic Aperture Radar (SAR) sensors could provide a suitable data base. Using polarimetric modes enables the identification of flooded vegetation by means of the typical double-bounce scattering. In this paper three decomposition techniques—Cloude-Pottier, Freeman-Durden, and Normalized Kennaugh elements—are compared to each other in terms of identifying the flooding extent as well as its temporal change. The image comparison along the time series is performed with the help of the Curvelet-based Change Detection Method. The results indicate that the decomposition algorithm has a strong impact on the robustness and reliability of the change detection. The Normalized Kennaugh elements turn out to be the optimal representation for Curvelet-based change detection processing. Furthermore, the co-polarized channels (same transmit and receive polarization in horizontal (HH) and vertical (VV) direction respectively) appear to be sufficient for wetland monitoring so that dual-co-polarized imaging modes could be an alternative to conventional quad-polarized acquisitions.

Item URL in elib:https://elib.dlr.de/83312/
Document Type:Article
Title:Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, AndreasAndreas.Schmitt (at) dlr.deUNSPECIFIED
Brisco, Brianbrian.brisco (at) nrcan-rncan.gc.caUNSPECIFIED
Date:11 July 2013
Journal or Publication Title:Water
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1036-1051
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue "Advances in Remote Sensing of Flooding"
Keywords:change detection; Curvelets; flood monitoring; flooded vegetation; image enhancement; polarimetric decomposition; polarimetry; Synthetic Aperture Radar; wetlands
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Schmitt, Andreas
Deposited On:17 Jul 2013 08:44
Last Modified:14 Dec 2019 04:21

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