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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-39625

Magnard, C; Meier, E; Small, D; Essen, H; Brehm, T (2010). Processing of MEMPHIS millimeter wave multi-baseline InSAR data. In: IEEE Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu, Hawaii, USA, 25 July 2010 - 30 July 2010, 4302-4305.

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Abstract

This paper presents a processing method for multi-baseline interferometric data acquired with the MEMPHIS airborne sensor. The processing method ingests the SAR raw data from each receiver and extends up to the generation of digital elevation models (DEMs). Critical steps include the correction of the azimuth phase undulations, the multi- baseline processing and the phase-to-DEM conversion. Methods for resolving the various hurdles were adapted to the MEMPHIS sensor and are presented here. The results obtained for a data take over a test site near Zurich, Switzerland are shown; these results are in a good agreement with comparable LIDAR products.

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
DDC:910 Geography & travel
Uncontrolled Keywords:Interferometry, airborne, multi-baseline, millimeter wave, synthetic aperture radar (SAR), digital elevation model (DEM)
Language:English
Event End Date:30 July 2010
Deposited On:29 Dec 2010 10:24
Last Modified:09 Jul 2012 04:31
ISSN:2153-6996
ISBN:978-1-4244-9564-1 ; 978-1-4244-9565-8
Additional Information:© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:10.1109/IGARSS.2010.5650372
Official URL:http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5650372&queryText%3Dmagnard%26openedRefinements%3D*%26searchField%3DSearch+All
Related URLs:http://www.igarss2010.org/
Citations:Google Scholar™
Scopus®. Citation Count: 4

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