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:

Authors	Institution or Email of Authors
Benz, U.

Date:

1999

Journal or Publication Title:

IEEE Transactions on Geoscience and Remote Sensing

Refereed publication:

Yes

In ISI Web of Science:

Yes

Volume:

Page Range:

pp. 1023-1037

Status:

Published

Keywords:

SAR, Fuzzy Systems, Classification

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

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 > Institut für Hochfrequenztechnik
Institute of Communication and Navigation > Institut für Hochfrequenztechnik
Remote Sensing Technology Institute > Institut für Hochfrequenztechnik

Deposited By:

elib DLR-Beauftragter

Deposited On:

16 Sep 2005

Last Modified:

06 Jan 2010 22:55

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