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Noise-Related Radiometric Correction in the TerraSAR-X Multimode SAR Processor

Balss, Ulrich and Breit, Helko and Fritz, Thomas (2009) Noise-Related Radiometric Correction in the TerraSAR-X Multimode SAR Processor. IEEE Transactions on Geoscience and Remote Sensing, 48 (2), pp. 741-750. DOI: 10.1109/TGRS.2009.2035443.

Full text not available from this repository.

Abstract

Synthetic aperture radar (SAR) image intensity is disturbed by additive system noise. During SAR focusing, pattern corrections that are adapted to the characteristics of the wanted signal, but not to the characteristics of the noise, influence the spatial distribution of the noise power. Particularly in the case of ScanSAR, a distinct residual noise pattern in low backscatter areas results. This necessitates a noise-adapted radiometric correction of the focused image for almost all applications except interferometry. In this paper, we thoroughly investigate this topic. Based on signal theoretical and stochastic considerations, we develop a radiometric correction scheme. Simulations and the application of the algorithm to TerraSAR-X datatakes support the theoretical results.

Document Type:Article
Title:Noise-Related Radiometric Correction in the TerraSAR-X Multimode SAR Processor
Authors:
AuthorsInstitution or Email of Authors
Balss, UlrichTU München
Breit, Helkohelko.breit@dlr.de
Fritz, Thomasthomas.fritz@dlr.de
Date:21 October 2009
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:48
DOI:10.1109/TGRS.2009.2035443
Page Range:pp. 741-750
Status:Published
Keywords:noise, radiometry, synthetic aperture radar (SAR)
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Projekt TerraSAR-X Nutzlastbodensegment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Dr. Ulrich Balss
Deposited On:18 Nov 2009 14:17
Last Modified:07 Feb 2013 20:22

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