Physics Based Target Detection Using a Hybrid Algorithm With an Infeasibility Metric
Ientilucci, E.J.; Schott, J.R.
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Volume 5, Issue , 14-19 May 2006 Page(s):V - V
Digital Object Identifier 10.1109/ICASSP.2006.1661495
Summary:This paper develops (and applies) a hybrid target detector that incorporates structured backgrounds and physics based modeling together with a geometric infeasibility metric. More often than not, detection algorithms are usually applied to atmospherically compensated hyperspectral imagery. Rather than compensate the imagery, we take the opposite approach by using a physics based model to generate permutations of what the target might look like as seen by the sensor in radiance space. The development and status of such a method is presented and applied to the generation of target spaces. The generated target spaces are designed to fully encompass image target pixels while using a limited number of input model parameters. Additionally, a structured infeasibility projector (SIP) is developed which enables one to be more selective in rejecting false alarms. Results on HYDICE data show that the SIP algorithm, in conjunction with a physics based detector, outperforms results from the SAM and SMF algorithms for a target that is both fully sunlit and obscured by a tree canopy
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