Global LoD-1 building model from TanDEM-X data

Xiao Xiang Zhu, Yuanyuan Wang, Yilei Shi, Marie Lachaise, Sina Montazeri, Vytautas Jancauskas, Ridvan Kuzu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

TanDEM-X mission delivers a global digital elevation model of high quality (12 m posting) close to the HRTI-3 standard. However, when it comes to urban areas, layover effect caused by the side-looking nature of the radar satellites handicaps the use of classical multi-baseline phase unwrapping and TanDEM-X data alone for a precise 3D reconstruction. This calls for advanced SAR image processing methods and additional data. This paper demonstrates our effort of creating the global Level of Detail 1 (LoD-1) urban model using primarily the TanDEM-X data. This global building model dataset will be made open access to the community.

Original languageEnglish
Title of host publicationEUSAR 2022 - 14th European Conference on Synthetic Aperture Radar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Electronic)9783800758234
StatePublished - 2022
Event14th European Conference on Synthetic Aperture Radar, EUSAR 2022 - Leipzig, Germany
Duration: 25 Jul 202227 Jul 2022

Publication series

NameProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume2022-July
ISSN (Print)2197-4403

Conference

Conference14th European Conference on Synthetic Aperture Radar, EUSAR 2022
Country/TerritoryGermany
CityLeipzig
Period25/07/2227/07/22

Fingerprint

Dive into the research topics of 'Global LoD-1 building model from TanDEM-X data'. Together they form a unique fingerprint.

Cite this