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Supervised Fuzzy Classification of SAR Data Using Multiple Sources

Jäger, G. and Benz, U. (1999) Supervised Fuzzy Classification of SAR Data Using Multiple Sources. In: IGARSS '99 Proceedings, pp. 1603-1605. IGARSS 99, Hamburg, 28.06-02.07.1999.

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Synthetic Aperture Radar images contain a lot of information, but they are difficult to interpret. It is important to extract information dependent on the application to increase the acceptance of radar data. A supervised learning system is necessary to implement the required adaptability. Our fuzzy approach allows to cope with uncertainties due to linguistic class definition, vague models, mixed pixels and noisy input data. In some cases single-channel classification already leads to satisfying results, however it is often desirable if not necessary to take more than one source of information into account. We show in this paper how the information contained in multiple channels, e.g. the four channels of a full polarimetric SAR and/or information from different sources, can be combined automatically to obtain a final classification with high accuracy. To cope with the problem of different reliability of the available channels as well as in our classification technique we make extensively use of fuzzy logic. The proposed methods are computational efficient and increase the accuracy of the classification compared to single channel methods. The performance of these techniques is demonstrated on ESAR data.

Item URL in elib:https://elib.dlr.de/5944/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=2000,
Title:Supervised Fuzzy Classification of SAR Data Using Multiple Sources
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:IGARSS '99 Proceedings
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1603-1605
Keywords:Synthetic Aperture Radar (SAR) images, classification, data fusion, fuzzy logic
Event Title:IGARSS 99, Hamburg, 28.06-02.07.1999
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Fischer, Jens
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 19:34

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