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Supervised Fuzzy Analysis of Single- and Multichannel SAR Data

Benz, U. (1999) Supervised Fuzzy Analysis of Single- and Multichannel SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 37 (2), pp. 1023-1037.

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Abstract

The paper proposes a new learning fuzzy classification for single and multichannel synthetic aperture radar (SAR) data. The adaptive algorithm accommodates varying requirements and delivers classification results in near real time. In addition to the classification, the user gets the reliability of the classification. This knowledge can be used to fuse several sensor channels efficiently. Here fully polarimetric data of DLR's experimental SAR (E-SAR) are used.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=1999,
Title:Supervised Fuzzy Analysis of Single- and Multichannel SAR Data
Authors:
AuthorsInstitution or Email of Authors
Benz, U.UNSPECIFIED
Date:1999
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:37
Page Range:pp. 1023-1037
Status:Published
Keywords:SAR, Fuzzy Systems, Classification
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:Institut für Hochfrequenztechnik
Deposited By: elib DLR-Beauftragter
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 22:55

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