DocumentCode :
576489
Title :
Adaptive filtering of interferometric phases at building location
Author :
Dubois, Clémence ; Thiele, Antje ; Hinz, Stefan
Author_Institution :
Inst. of Photogrammetry & Remote Sensing (IPF), Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6625
Lastpage :
6628
Abstract :
The high-resolution space borne sensor TerraSAR-X shows good ability for extracting height information by use of repeat-pass interferometry. Indeed, the interferometric phase is still noisy due to temporal decorrelation. The new TanDEM-X mission offers for the first time the possibility of performing high resolution single-pass space borne interferometry, providing good coherence, and thus allowing a better mapping of the 3D shape of objects. These data are still affected by noise though and a filtering is prerequisite in order to enhance object recognition. In previous work, we presented several filtering methods in order to reduce the interferometric noise at building location. We particularly showed the benefits of introducing GIS information such as building footprints into the filtering. In this paper, we present a new filtering method, consisting of combining GIS-supported and area filters for better consideration of large building shape. Results of the GIS supported filter and of the new combined filter are presented on TanDEM-X data.
Keywords :
adaptive filters; geographic information systems; geophysical signal processing; height measurement; radar interferometry; radar signal processing; remote sensing by radar; synthetic aperture radar; 3D object shape mapping; GIS information; GIS supported filters; TanDEM-X mission; TerraSAR-X; area filters; building footprints; building location; filtering methods; height information extraction; high resolution single pass space borne interferometry; high resolution space borne sensor; interferometric phase adaptive filtering; large building shape; repeat pass interferometry; temporal decorrelation; Buildings; Coherence; Information filters; Noise measurement; Optical filters; InSAR Phase; TanDEM-X; building reconstruction; filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352080
Filename :
6352080
Link To Document :
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