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Performance-Optimized Quantization for SAR and InSAR Applications

Martone, Michele and Gollin, Nicola and Rizzoli, Paola and Krieger, Gerhard (2022) Performance-Optimized Quantization for SAR and InSAR Applications. IEEE Transactions on Geoscience and Remote Sensing, pp. 1-22. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2022.3181237. ISSN 0196-2892.

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Abstract

For the design of present and next-generation spaceborne SAR missions, constantly increasing data rates are being demanded, which impose stringent requirements in terms of onboard memory and downlink capacity. In this scenario, the efficient quantization of SAR raw data is of primary importance since the utilized compression rate is directly related to the volume of data to be stored and transmitted to the ground, and at the same time, it affects the resulting SAR imaging performance. In this article, we introduce the performance-optimized block-adaptive quantization (PO-BAQ), a novel approach for SAR raw data compression that aims at optimizing the resource allocation and, at the same time, the quality of the resulting SAR and InSAR products. This goal is achieved by exploiting the a priori knowledge of the local SAR backscatter statistics, which allows for the generation of high-resolution bitrate maps that can be employed to fulfill a predefined performance requirement. Analyses of experimental TanDEM-X interferometric data are presented, which demonstrates the potential of the proposed method as a helpful tool for performance budget definition and data rate optimization of present and future SAR missions.

Item URL in elib:https://elib.dlr.de/187269/
Document Type:Article
Title:Performance-Optimized Quantization for SAR and InSAR Applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Martone, MicheleMichele.Martone (at) dlr.dehttps://orcid.org/0000-0002-4601-6599
Gollin, NicolaNicola.Gollin (at) dlr.dehttps://orcid.org/0000-0003-0477-3273
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Krieger, GerhardGerhard.Krieger (at) dlr.dehttps://orcid.org/0000-0002-4548-0285
Date:June 2022
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/TGRS.2022.3181237
Page Range:pp. 1-22
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:Block adaptive quantization (BAQ), data volume optimization, interferometric synthetic aperture radar (InSAR), synthetic aperture radar (SAR)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Support TerraSAR-X/TanDEM-X operations
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Microwaves and Radar Institute > Radar Concepts
Deposited By: Martone, Michele
Deposited On:07 Jul 2022 12:40
Last Modified:07 Jul 2022 12:40

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