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A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms

Baier, Gerald and Rossi, Cristian and Lachaise, Marie and Zhu, Xiao Xiang and Bamler, Richard (2018) A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 56 (11), pp. 6469-6483. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2018.2839027. ISSN 0196-2892.

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Official URL: https://ieeexplore.ieee.org/document/8409964


This paper presents a nonlocal interferometric synthetic aperture radar (InSAR) filter with the goal of generating digital elevation models (DEMs) of higher resolution and accuracy from bistatic TanDEM-X strip map interferograms than with the processing chain used in production. The currently employed boxcar multilooking filter naturally decreases the resolution and has inherent limitations on what level of noise reduction can be achieved. The proposed filter is specifically designed to account for the inherent diversity of natural terrain by setting several filtering parameters adaptively. In particular, it considers the local fringe frequency and scene heterogeneity, ensuring proper denoising of interferograms with considerable underlying topography as well as urban areas. A comparison using synthetic and TanDEM-X bistatic strip map data sets with existing InSAR filters shows the effectiveness of the proposed techniques, most of which could readily be integrated into existing nonlocal filters. The resulting DEMs outclass the ones produced with the existing global TanDEM-X DEM processing chain by effectively increasing the resolution from 12 to 6 m and lowering the noise level by roughly a factor of two.

Item URL in elib:https://elib.dlr.de/122449/
Document Type:Article
Title:A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baier, Geraldgerald.baier (at) dlr.deUNSPECIFIED
Rossi, Cristiancristian.rossi (at) dlr.deUNSPECIFIED
Lachaise, MarieMarie.Lachaise (at) dlr.deUNSPECIFIED
Bamler, Richardrichard.bamler (at) dlr.deUNSPECIFIED
Date:November 2018
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/TGRS.2018.2839027
Page Range:pp. 6469-6483
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Synthetic aperture radar, Noise reduction, Spatial resolution, Microsoft Windows, Remote sensing, Digital elevation models, Strips, Digital elevation model (DEM), interferometric synthetic aperture radar (InSAR), nonlocal filtering.
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Remote Sensing Technology Institute > Leitungsbereich MF
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Hoffmann, Eike Jens
Deposited On:23 Oct 2018 14:46
Last Modified:31 Jul 2019 20:20

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