Combination of CEM & RXD for target detection in hyperspectral images

Abstract

There are two target detection algorithms which are commonly used in various applications. Both of them work on a related linear process, which makes them intensely related. This paper suggests a hyperspectral target detection algorithm which is a combination of CEM (Constrained Energy Minimization) and RXD (Reed-Xiaoli detector) algorithms to employ the advantages of both approaches to improve detection performance. The comparison of different target detection algorithms are performed by Receiver Operating Characteristic (ROC) Curves. The experimental result shows that this combination can efficiently improves the detection performance.