UZH-Logo

Maintenance Infos

Processing of MEMPHIS millimeter wave multi-baseline InSAR data


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.

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.

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.

Citations

Altmetrics

Downloads

53 downloads since deposited on 29 Dec 2010
12 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification: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:05 Apr 2016 14:26
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:https://doi.org/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/
Permanent URL: https://doi.org/10.5167/uzh-39625

Download

[img]
Preview
Filetype: PDF
Size: 1MB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations