Hybrid algorithm for hyperspectral target detection

摘要

In this paper, a hybrid reflective hyperspectral target detection algorithm based on the Constrained Energy Minimization(CEM) and Kelly's detection algorithms is presented. Detection performance is evaluated using the dataset and scoringmethodology of the Rochester Institute of Technology (RIT) Target Detection Blind Test project. Results show that theproposed hybrid algorithm enables the detection of subpixel targets at a false alarm rate lower than either CEM orKelly's algorithms.