DocumentCode
3071730
Title
An approach for improving building height estimation from interferometric SAR data
Author
Giardino, Giosue Andrey ; Schiavon, Giovanni ; Solimini, Domenico
Author_Institution
Dept. of Civil & Comput. Eng. (DICII), Tor Vergata Univ., Rome, Italy
fYear
2013
fDate
21-26 July 2013
Firstpage
4269
Lastpage
4272
Abstract
Synthetic Aperture Radar interferometry (InSAR) is an established technique for retrieving digital elevation models. Last generation of metric resolution SAR systems promoted interest in investigations about InSAR potential for urban observation. It has been shown that accurate InSAR retrieval of the vertical dimension of buildings could be partially impaired by layover. Within a single baseline framework, firstly this paper aims at a further insight into the consequence of layover effect on InSAR observation of buildings, by working a suitable model. Secondly, following the model indications, a processing strategy is proposed to improve height estimation, exploiting the backscattering from highly reflecting structures which are frequently present on the roofs of buildings, at least in some geographic areas like Italy. A preliminary validation of the procedure is carried out using Italian Space Agency (ASI) COSMO-SkyMed Spotlight data acquired on the Tor Vergata University Campus test site in Rome.
Keywords
buildings (structures); digital elevation models; radar interferometry; synthetic aperture radar; ASI; COSMO-SkyMed Spotlight data; InSAR retrieval; Italian Space Agency; Tor Vergata University Campus test site; backscattering; building height estimation improvement; digital elevation models; metric resolution SAR systems; processing strategy; single baseline framework; synthetic aperture radar interferometry; vertical dimension; Backscatter; Buildings; Educational institutions; Estimation; Synthetic aperture radar; Synthetic aperture radar interferometry; Synthetic Aperture Radar interferometry; building height; layover;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723777
Filename
6723777
Link To Document