Some results from scattering-based tomography for HRR and SAR prediction

Bradley S. Denney; Katia Estabridis; Rui J. P. de Figueiredo; Keith J. Dillon

doi:10.1117/12.487497

12 September 2003 Some results from scattering-based tomography for HRR and SAR prediction

Bradley S. Denney, Katia Estabridis, Rui J. P. de Figueiredo, Keith J. Dillon

Proceedings Volume 5095, Algorithms for Synthetic Aperture Radar Imagery X; (2003) https://doi.org/10.1117/12.487497
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The problem of predicting HRR radar and SAR signal magnitudes based on a limited number of observations is a challenging component of feature aided tracking. In this paper we describe the application of a scattering-based tomographic technique that builds persistent scatterer models of ground vehicles from a collection of HRR and/or SAR observations from varying look angles. Results are obtained using MSTAR data. Target detection results are shown using ROC curves and compared with nearest observation matching. Application of these techniques to the move-stop-move problem of vehicle tracking is also described.

Citation Download Citation

Bradley S. Denney, Katia Estabridis, Rui J. P. de Figueiredo, and Keith J. Dillon "Some results from scattering-based tomography for HRR and SAR prediction", Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); https://doi.org/10.1117/12.487497

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