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A fuzzy logic-based approach for the detection of flooded vegetation by means of Synthetic Aperture Radar data

Tsyganskaya, Viktoriya and Martinis, Sandro and Twele, André and Cao, Wenxi and Schmitt, Andreas and Marzahn, Philip and Ludwig, Ralf (2016) A fuzzy logic-based approach for the detection of flooded vegetation by means of Synthetic Aperture Radar data. In: ISPRS Archives, XLI-B7, pp. 371-378. ISPRS XXIII Congress, 12.-19. Jul. 2016, Prague, Czech Republic. doi: 10.5194/isprs-archives-XLI-B7-371-2016.

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/371/2016/isprs-archives-XLI-B7-371-2016.pdf


In this paper an algorithm designed to map flooded vegetation from synthetic aperture radar (SAR) imagery is introduced. The approach is based on fuzzy logic which enables to deal with the ambiguity of SAR data and to integrate multiple ancillary data containing topographical information, simple hydraulic considerations and land cover information. This allows the exclusion of image elements with a backscatter value similar to flooded vegetation, to significantly reduce misclassification errors. The flooded vegetation mapping procedure is tested on a flood event that occurred in Germany over parts of the Saale catchment on January 2011 using a time series of high resolution TerraSAR-X data covering the time interval from 2009 to 2015. The results show that the analysis of multi-temporal X-band data combined with ancillary data using a fuzzy logic-based approach permits the detection of flooded vegetation areas.

Item URL in elib:https://elib.dlr.de/103363/
Document Type:Conference or Workshop Item (Speech)
Title:A fuzzy logic-based approach for the detection of flooded vegetation by means of Synthetic Aperture Radar data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Tsyganskaya, ViktoriyaDLRUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Twele, Andréandre.twele (at) dlr.deUNSPECIFIED
Cao, Wenxiwenxi.cao (at) dlr.deUNSPECIFIED
Schmitt, Andreasandreas.schmitt (at) dlr.deUNSPECIFIED
Marzahn, PhilipLMU MünchenUNSPECIFIED
Date:21 June 2016
Journal or Publication Title:ISPRS Archives
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/isprs-archives-XLI-B7-371-2016
Page Range:pp. 371-378
Series Name:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Keywords:Fuzzy logic, Flooded vegetation; Synthetic Aperture Radar (SAR); Data fusion, TerraSAR-X
Event Title:ISPRS XXIII Congress
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:12.-19. Jul. 2016
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 Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Twele, Andre
Deposited On:01 Apr 2016 10:00
Last Modified:09 Jan 2017 14:19

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