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Proceedings Paper

Possible improvements of synthetic aperture radar (SAR) using fuzzy logic
Author(s): Ursula C. Benz
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Paper Abstract

Remote sensing and especially synthetic aperture radar (SAR) are efficient tools for environmental protection. This paper gives first a brief overview about applications and basic principles of SAR. The second part of the paper describes uncertainties and ambiguities inherent in the SAR system. Concepts using fuzzy logic that are able to handle this vagueness are proposed. In image analysis the greatest advantage appears within multisensor applications. The fuzzy system considers not only the information of the various remotely sensed data but also takes their uncertainties into account. Besides their usefulness in image analysis, fuzzy systems are suitable to create a user friendly interface and an adaptive control for future remote sensing systems. The last part of the paper presents a new approach to adaptively classify SAR images. It consist of a fuzzy comparison of distributions (FCOD) and the fuzzy learning vector quantizer (FLVQ). This system performs a first step towards an improved SAR system.

Paper Details

Date Published: 14 June 1996
PDF: 12 pages
Proc. SPIE 2761, Applications of Fuzzy Logic Technology III, (14 June 1996); doi: 10.1117/12.243256
Show Author Affiliations
Ursula C. Benz, DLR (Germany)

Published in SPIE Proceedings Vol. 2761:
Applications of Fuzzy Logic Technology III
Bruno Bosacchi; James C. Bezdek, Editor(s)

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