Quadratic Constrained Energy Minimization for hyperspectral target detection

In this paper, we propose a simple but effective algorithm, Quadratic Constrained Energy Minimization (QCEM) detector for hyperspectral image target detection. QCEM is a nonlinear version of classical Constrained Energy Minimization (CEM) detector, and it exploits the nonlinear characteristics of data by adding quadratic term on CEM model. Experimental results on one real hyperspectral images and one synthetic image suggest our method significantly improves the performance of the original CEM detection algorithm.