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Our goal in this talk is to demonstrate that detectors behave differently for different images and targets and to propose a novel approach to proper detector selection. To choose the algorithm, we analyze image statistics, the target signature, and the target’s physical size, but we do not need any type of ground truth. We demonstrate our ability to evaluate detectors and find the best settings for their free parameters by comparing our results for various stochastic algorithms for target detection. We test our concepts by using the dataset and scoring methodology of the Rochester Institute of Technology (RIT) Target Detection Blind Test project. The results show that we can correlate our simulated results to actual target detection performance. Host: James Theiler, jt@lanl.gov, 665-5682. Hosted by the Information Science and Technology Center (ISTC) |