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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..

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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.

Item URL in elib:https://elib.dlr.de/33214/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1995, pages=11,
Title:Adaptive SAR Raw Data Reduction Using Fuzzy Logic.
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Journal or Publication Title:Proc.: Aerosense "95.
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
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: DLR-Beauftragter, elib
Deposited On:02 Apr 2006
Last Modified:27 Apr 2009 09:00

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