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Wednesday, July 11, 2012
3:00 PM - 4:00 PM
CNLS Conference Room (TA-3, Bldg 1690)


Evaluating Sub-Pixel Target Detection Algorithms in Hyper-Spectral Imagery

Stanley R. Rotman
Ben-Gurion University of the Negev Dept. of Electrical and Computer Engineering

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 targetís 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,, 665-5682. Hosted by the Information Science and Technology Center (ISTC)