Digital elevation model generation from satellite interferometric synthetic aperture radar

Zhong Lu, Hyung Sup Jung, Lei Zhang, Wonjin Lee, Chang Wook Lee, Daniel Dzurisin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

An accurate digital elevation model (DEM) is a critical data set for characterizing the natural landscape, monitoring natural hazards, and georeferencing satellite imagery. The ideal interferometric synthetic aperture radar (InSAR) configuration for DEM production is a single-pass two-antenna system. Repeat-pass single-antenna satellite InSAR imagery, however, also can be used to produce useful DEMs. DEM generation from InSAR is advantageous in remote areas where the photogrammetric approach to DEM generation is hindered by inclement weather conditions. There are many sources of errors in DEM generation from repeat-pass InSAR imagery, for example, inaccurate determination of the InSAR baseline, atmospheric delay anomalies, and possible surface deformation because of tectonic, volcanic, or other sources during the time interval spanned by the images. This chapter presents practical solutions to identify and remove various artifacts in repeat-pass satellite InSAR images to generate a high-quality DEM.

Original languageEnglish
Title of host publicationAdvances in Mapping from Remote Sensor Imagery
Subtitle of host publicationTechniques and Applications
PublisherCRC Press
Pages119-144
Number of pages26
ISBN (Electronic)9781439874592
ISBN (Print)9781439874585
DOIs
StatePublished - 1 Jan 2012

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