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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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.

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.

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Benz, U.	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

1995

Journal or Publication Title:

Proc.: Aerosense "95.

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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:

DLR-Beauftragter, elib

Deposited On:

02 Apr 2006

Last Modified:

27 Apr 2009 09:00

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