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Proceedings Paper

Using glint to perform geometric signature prediction and pose estimation
Author(s): Christopher Paulson; Edmund Zelnio; LeRoy Gorham; Dapeng Wu
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Paper Abstract

We consider two problems in this paper. The rst problem is to construct a dictionary of elements without using synthetic data or a subset of the data collection; the second problem is to estimate the orientation of the vehicle, independent of the elevation angle. These problems are important to the SAR community because it will alleviate the cost to create the dictionary and reduce the number of elements in the dictionary needed for classication. In order to accomplish these tasks, we utilize the glint phenomenology, which is usually viewed as a hindrance in most algorithms but is valuable information in our research. One way to capitalize on the glint information is to predict the location of the int by using geometry of the single and double bounce phenomenology. After qualitative examination of the results, we were able to deduce that the geometry information was sucient for accurately predicting the location of the glint. Another way that we exploited the glint characteristics was by using it to extract the angle feature which we will use to do the pose estimation. Using this technique we were able to predict the cardinal heading of the vehicle within ±2° with 96:6% having 0° error. Now this research will have an impact on the classication of SAR images because the geometric prediction will reduce the cost and time to develop and maintain the database for SAR ATR systems and the pose estimation will reduce the computational time and improve accuracy of vehicle classication.

Paper Details

Date Published: 7 May 2012
PDF: 20 pages
Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940R (7 May 2012); doi: 10.1117/12.919523
Show Author Affiliations
Christopher Paulson, Univ. of Florida (United States)
Edmund Zelnio, Air Force Research Lab. (United States)
LeRoy Gorham, Air Force Research Lab. (United States)
Dapeng Wu, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 8394:
Algorithms for Synthetic Aperture Radar Imagery XIX
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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