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Proceedings Paper

Multi-viewpoint image fusion for urban sensing applications
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Paper Abstract

Significant multipath propagation and presence of heavy clutter in indoor environments imposes severe limitations on through-the-wall radar imaging. It is highly desirable to properly interpret the radar images and determine the contents of the indoor scene with a high level of confidence. Data collected from multiple viewpoints around a structure can be used to improve imaging visibility into the indoor scene, which, in turn, enhances indoor target detection and localization for urban sensing applications. In this paper, we consider multi-viewpoint radar imaging and present image registration and fusion techniques for combining synthetic aperture radar images acquired from multiple locations along one or more sides of an enclosed structure. Supporting results, based on real-data collected behind concrete walls in a semi-controlled laboratory environment, are provided for demonstrating the improved performance of the multiple viewpoint scheme compared to operation from a single location.

Paper Details

Date Published: 17 April 2008
PDF: 11 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680L (17 April 2008); doi: 10.1117/12.782302
Show Author Affiliations
Fauzia Ahmad, Villanova Univ. (United States)
Moeness G. Amin, Villanova Univ. (United States)


Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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