Nonlocal InSAR filtering for high resolution DEM generation from TanDEM-X interferograms

Gerald Baier, Cristian Rossi, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler

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

4 Scopus citations

Abstract

We investigate the feasibility of generating highly accurate digital elevation models (DEM) from TanDEM-X interferograms by using nonlocal filters for phase denoising. Some of the shortcomings of existing nonlocal filters that render them not applicable to our goal are briefly described and a new filter is proposed that alleviates these problems. The most significant new properties are addressing the slope dependent denoising performance of existing nonlocal InSAR filters and several measures to bolster denoising near edgelike features. We evaluate the proposed filter using synthetic interferograms and by visual inspection of a DEM generated from a TanDEM-X interferogram.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-106
Number of pages4
ISBN (Electronic)9781509049516
DOIs
StatePublished - 1 Dec 2017
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Conference

Conference37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period23/07/1728/07/17

Keywords

  • DEM
  • InSAR denoising
  • nonlocal filtering

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