1 April 2003 Application of radon transforms and time-frequency representations to ISAR imagery
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Abstract
The use of ISAR imagery for Automatic Target Recognition is seriously hampered by the difficulty of target motion compensation. Phase perturbations that result from target maneuvers during the processing interval need to be corrected for. In a previous paper, we demonstrated the use of the local Radon transform for estimating the radial velocity of a target. This estimate can then be used to align a sequence of range profiles prior to cross-range compression. In this paper, we make a quantitative comparison of the results that are obtained using different types of local Radon transformations. In the second part of this paper we outline an algorithm for compensation of phase perturbation that are caused by non-uniform target rotation. The algorithm has been tested on simulated data.
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Phillippe Steeghs, Sjoerd J. Gelsema, "Application of radon transforms and time-frequency representations to ISAR imagery", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, (1 April 2003); doi: 10.1117/12.484815; https://doi.org/10.1117/12.484815
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