Optimization of Block-Adaptive Quantization for SAR Raw Data

Parraga Niebla C, Krieger G (2003)

Publication Type: Journal article

Publication year: 2003

Journal

Space Technology Pergamon Press Ltd.

Publisher: Lister Science

Edited Volumes: Space Technology

Book Volume: 23

Pages Range: 131-141

Journal Issue: 2-3

URI: https://elib.dlr.de/6150/

Abstract

This paper presents the results of investigations of the SAR raw data compression performance based on the quantization of the pixel amplitude for interferometric systems. The Block-Adaptive Quantization (BAQ) algorithm is applied to each Cartesian component of the complex SAR data and optimized in terms of block size. Furthermore, a comparison with the quantization of the polar components of the data is presented. © 2003 Lister Science.

Authors with CRIS profile

Gerhard Krieger

Additional Organisation(s)

Professur für Kognitive Radarsysteme für die Fernerkundung

Involved external institutions

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE)

How to cite

APA:

Parraga Niebla, C., & Krieger, G. (2003). Optimization of Block-Adaptive Quantization for SAR Raw Data. Space Technology, 23(2-3), 131-141.

MLA:

Parraga Niebla, Cristina, and Gerhard Krieger. "Optimization of Block-Adaptive Quantization for SAR Raw Data." Space Technology 23.2-3 (2003): 131-141.

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