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A Block Adaptive Vector Quantization for Optimized SAR Raw Data Reduction.

Benz, U. (Vortragende) and Moreira, A. and Strodl, K. and Blaeser, F. (1994) A Block Adaptive Vector Quantization for Optimized SAR Raw Data Reduction. ERIM, Mich., USA. First Internat. Airborne Remote Sensing Conference and Exhibition (ERIM), Strasbourg, France, 11.-15.9.94..

Full text not available from this repository.

Abstract

This paper proposes a new approach for efficient SAR raw data compression which consists of first compressing the raw data with the block adaptive quantizer (BAQ) approach and then performing a compression with the vector quantizer (VQ). Further improvements are possible selecting different compression ratios with fuzzy control systems whereby the mean data rate is nearly maintained.

Item URL in elib:https://elib.dlr.de/33099/
Document Type:Conference or Workshop Item (Paper)
Additional Information: LIDO-Berichtsjahr=1994, pages=12,
Title:A Block Adaptive Vector Quantization for Optimized SAR Raw Data Reduction.
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Benz, U. (Vortragende)UNSPECIFIEDUNSPECIFIED
Moreira, A.UNSPECIFIEDUNSPECIFIED
Strodl, K.UNSPECIFIEDUNSPECIFIED
Blaeser, F.UNSPECIFIEDUNSPECIFIED
Date:1994
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:II.
Page Range:pp. 379-390
Publisher:ERIM, Mich., USA
Series Name:ISSN 1076-7924
Status:Published
Keywords:SAR, Raw Data Reduction, Fuzzy Logic
Event Title:First Internat. Airborne Remote Sensing Conference and Exhibition (ERIM), Strasbourg, France, 11.-15.9.94.
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 08:57

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