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Model-Based Interpretation of High-Resolution SAR Images of Buildings

Guida, R, Iodice, A, Riccio, D and Stilla, U (2008) Model-Based Interpretation of High-Resolution SAR Images of Buildings IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1 (2). pp. 107-119.

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High-resolution (HR) synthetic aperture radar (SAR) images of urban areas reveal a large variety of details that, although potentially bringing a lot of information, are often very difficult to interpret. Until now, most of the research activity in this field has been devoted to the attempt to retrieve geometric information on buildings in terms of their positions and sizes, by using simplified geometrical models. However, this approach does not allow us to fully exploit the large amount of information present in HR SAR images. In order to improve information retrieval from such images, and, hence, their interpretation, in this paper, we propose to employ a more refined model that accounts for both geometrical (including fine details) and electromagnetic properties of the building. A meaningful case study is presented to show that the main features appearing on the SAR image of a building can be interpreted by using our geometric and electromagnetic model. In addition, a first example of retrieval of the complex dielectric constant of building materials from a SAR image is presented.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Authors :
Guida, R
Iodice, A
Riccio, D
Stilla, U
Date : October 2008
DOI : 10.1109/JSTARS.2008.2001155
Uncontrolled Keywords : urban remote sensing, synthetic aperture radar, SAR, buildings, urban areas, high resolution
Additional Information : © YEAR IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 16 May 2012 16:26
Last Modified : 31 Oct 2017 14:36

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