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Non-local Filtering of TanDEM-X Interferograms for Improving DEM Quality

Adam, Fathalrahman (2014) Non-local Filtering of TanDEM-X Interferograms for Improving DEM Quality. Master's, Technische Universität München.

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TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an advanced space interferometer, composed of two TerraSAR-X satellites ying in close formation. The primary goal of TanDEM-X mission is the generation of a global Digital Elevation Model (DEM) of an unprecedented accuracy, coverage and quality. One of the main issues facing Interferometric SAR (InSAR) products is the interferometric phase noise coming from diffrent sources. The typical post-acquisition work-around for the noise problem is altering of interferograms. A plethora of alters have been suggested for the noise reduction and phase recovery. These alters are based on different principles and attained different degrees of success. One of the recently suggested alters seems to have a good potential in tackling the phase noise problem, the Non-Local InSAR (NL-InSAR) alter. This smart alter surpasses the performance of conventional alters by intelligently selecting the pixels to be averaged in order to reduce the noise and preserve structures. In this thesis, an implementation of the NL-InSAR alter is realized, with special attention paid to the heavy computational cost synonymous with nonlocal means concept. Various algorithmic and programming techniques are pursued to reduce the computational burden and bring the alter to an operational state suitable for large InSAR data-sets. To bring the NL-InSAR alter to a new level of performance, a simple improvement to the alter algorithm has been suggested. The performance of the modifed NL-InSAR alter is compared against the original NL-InSAR alter and to other conventional alters, realistic simulations have been done and the results are presented. The last part of the thesis is about evaluation of the NL-InSAR alter as a suggested alternative to the current Boxcar alter used in the standard TanDEM-X DEM generation. A systematic evaluation of NL-InSAR DEMs was done using few TanDEM-X data sets, and compared against the standard TanDEM-X DEMs.

Item URL in elib:https://elib.dlr.de/92732/
Document Type:Thesis (Master's)
Title:Non-local Filtering of TanDEM-X Interferograms for Improving DEM Quality
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Adam, FathalrahmanTUMUNSPECIFIED
Date:January 2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:80
Keywords:Nonlocal means filter, TanDEM-X, 6m DEM
Institution:Technische Universität München
Department:Lehrstuhl für Methodik der Fernerkundung
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Zhu, Xiao Xiang
Deposited On:01 Dec 2014 10:20
Last Modified:02 Mar 2015 09:38

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