Martone, Michele and Bräutigam, Benjamin and Rizzoli, Paola and Krieger, Gerhard (2013) Impact of SAR raw data quantization on TanDEM-X performance. In: Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013-07-21 - 2013-07-26, Melbourne, Australia.
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Abstract
Quantization of SAR raw data represents an aspect of primary importance, since the number of bits used for radar signal digitization on the one hand controls the on-board memory consumption and the data volume to be transmitted on the ground, and on the other hand affects directly the performance of the SAR images. The TanDEM-X mission started in 2010 and comprises the two twin satellites TerraSAR-X and TanDEM-X. Its primary objective is the generation of a worldwide and consistent digital elevation model (DEM) with an unprecedented accuracy. The two satellites fly in close orbit configuration and act as a large single-pass radar interferometer with the adaptability for flexible baseline selection. In this paper, the impact of quantization on bistatic TanDEM-X data is evaluated. First, the effect on the Noise Equivalent Sigma Zero (NESZ) is investigated. Then, the dependence of interferometric coherence on raw data quantization is assessed, and the impact on relative height accuracy is estimated from TanDEM-X repeated acquisitions. A dedicated analysis aimed at evaluating interferometric performance in presence of inhomogeneities in the backscatter response (the so-called low scatterer suppression) is performed. Based on the presented results, the resource allocation strategy for the second global coverage of TanDEM-X has been consequently adapted to further improve the final DEM performance.
Item URL in elib: | https://elib.dlr.de/82184/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Additional Information: | (c)2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | ||||||||||||||||||||
Title: | Impact of SAR raw data quantization on TanDEM-X performance | ||||||||||||||||||||
Authors: |
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Date: | 26 July 2013 | ||||||||||||||||||||
Journal or Publication Title: | Proceedings of IEEE Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | TanDEM-X, SAR interferometry (InSAR), quantization, BAQ. | ||||||||||||||||||||
Event Title: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Event Location: | Melbourne, Australia | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 21 July 2013 | ||||||||||||||||||||
Event End Date: | 26 July 2013 | ||||||||||||||||||||
Organizer: | IEEE | ||||||||||||||||||||
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 - Projekt TanDEM-X (old) | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||||||||||
Deposited By: | Martone, Michele | ||||||||||||||||||||
Deposited On: | 26 Apr 2013 14:14 | ||||||||||||||||||||
Last Modified: | 24 Apr 2024 19:48 |
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