Detection Algorithm of Maritime Target Based on Linear Discriminant Analysis
The detection performance of the traditional single feature method is poor,and the detection perfor-mance can be effectively improved by multi-feature joint detection method.However,the use of multi-feature joint meth-ods will not only improve the detection performance,but also lead to an increase in calculation and information redun-dancy.In this paper,a detection method for floating small targets based on linear discriminant analysis is proposed.The single feature is mapped to a two-dimensional feature space to form two groups of feature combinations,which named RDPH-RVE and RPH-TEM.Dimension reduction is carried out on the basis of two-dimensional feature combination.By mapping a single feature into a two-dimensional space,the overlapping area between sea clutter and the target is re-duced.Then through the linear discriminant analysis method,the radar data is projected in a more distinguishable direc-tion,which reduces the amount of calculation while retaining the information.
万方数据
维普
