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Analysis and Statistical Characterization of Interferometric Signals Based on the Power Spectral Density Function

Holzner, Jürgen (2004) Analysis and Statistical Characterization of Interferometric Signals Based on the Power Spectral Density Function. IEEE Transactions on Geoscience and Remote Sensing, 42 (5), pp. 1116-1121.

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Abstract

Interferometric signal analysis is applied in many fields including filtering, parameter estimation, and interferogram processing optimization. Sample applications include the determination of terrain and orbit parameters from the interferogram, interferogram phase estimation, and optimal processing of SAR interferograms. In this letter the relevance of the power spectral density to interferometric SAR mode exploration and interferogram multi-looking or filtering is discussed. The interferometric SAR modes include the known standard modes: strip-map, scansar and spotlight. For the verification of the multi-looking characteristics of SAR interferograms two frequently used filters serve as empirical reference. Based on a basic interferometric system model and a distributed scatterer model, the power spectral density description is developed.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2004,
Title:Analysis and Statistical Characterization of Interferometric Signals Based on the Power Spectral Density Function
Authors:
AuthorsInstitution or Email of Authors
Holzner, JürgenUNSPECIFIED
Date:2004
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:42
Page Range:pp. 1116-1121
Status:Published
Keywords:Interferometry, SAR, Power Spectral Density, Multi-looking, Filter
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):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Cornelia Roehl
Deposited On:20 Feb 2006
Last Modified:06 Jan 2010 22:25

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