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Multi-pass SAR interferometry for 3D reconstruction of complex mountainous areas based on robust low rank tensor decomposition

Kang, Jian and Wang, Yuanyuan and Zhu, Xiao Xiang (2018) Multi-pass SAR interferometry for 3D reconstruction of complex mountainous areas based on robust low rank tensor decomposition. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2018, 22.-27. Juli 2018, Valencia, Spain.

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Official URL: https://www.igarss2018.org/

Abstract

During the past decades, multi-pass SAR interferometry (InSAR) techniques have been developed for retrieving geophysical parameters such as elevation, over large areas. Conventional method such as periodogram usually requires a fairly large SAR image stack (usually in the order of tens), in order to achieve reliable estimates of these parameters. However, when it comes to large-area processing, it is time-consuming and luxury to obtain a sufficient number of SAR images for the reconstruction. In this paper, we demonstrate a novel multi-pass InSAR method for 3D reconstruction using low rank tensor decomposition. By exploiting the low rank prior knowledge in the multi-pass InSAR stack, simulations show that the proposed method can improve the accuracy of elevation estimates by a factor of two, compared to the stateof-the-art InSAR filtering methods, such as SqueeSAR. The capability of the proposed algorithm is also demonstrated on real data using one TanDEM-X InSAR stack of a complex mountainous area.

Item URL in elib:https://elib.dlr.de/120032/
Document Type:Conference or Workshop Item (Speech)
Title:Multi-pass SAR interferometry for 3D reconstruction of complex mountainous areas based on robust low rank tensor decomposition
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kang, JianTUMUNSPECIFIED
Wang, YuanyuanTUMhttps://orcid.org/0000-0002-0586-9413
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Date:July 2018
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:low rank, robust estimation, multi-pass, multi-baseline, 3D, InSAR, DEM, TanDEM-X
Event Title:IGARSS 2018
Event Location:Valencia, Spain
Event Type:international Conference
Event Dates:22.-27. Juli 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Wang, Yuanyuan
Deposited On:24 May 2018 14:06
Last Modified:31 Jul 2019 20:17

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