elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Adaptive SAR Raw Data Reduction Using Fuzzy Logic.

Benz, U. (1995) Adaptive SAR Raw Data Reduction Using Fuzzy Logic. In: Proc.: Aerosense "95.. Aerosense "95, Orlando, USA, 17-21 April 1995..

Full text not available from this repository.

Abstract

Synthetic aperture radar (SAR) is an effective tool for remote sensing. However, the huge amount of signal data difficults the on-board storage and the data downlink to the ground station. This paper presents a raw data compression algorithm using Fuzzy Locic, the Fuzzy Block Adaptive Quantizer (FBAQ), which improves the efficiency of the system. The data rate is reduced by a factor of 3 with a slight degradation of the image quality. The performance of the FBAQ is compared with the traditional algorithm, a Block Adaptive Quantizer (BAQ) and its hardware design for implementation in an airborne SAR system is shown.

Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1995, pages=11,
Title:Adaptive SAR Raw Data Reduction Using Fuzzy Logic.
Authors:
AuthorsInstitution or Email of Authors
Benz, U.UNSPECIFIED
Date:1995
Journal or Publication Title:Proc.: Aerosense "95.
Status:Published
Keywords:SAR Raw Data Compression, Application of Fuzzy Logic
Event Title:Aerosense "95, Orlando, USA, 17-21 April 1995.
HGF - Research field:UNSPECIFIED
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:UNSPECIFIED
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:02 Apr 2006
Last Modified:27 Apr 2009 09:00

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.