Adaptive Multi-Feature Fusion for underwater diver classification
Yang Juan, Xu Feng, Zhiheng Wei, Xudong An, Liu Jia, Yongqiang Ji, Tao Wen · 2013
This paper discusses a technique for the classification of divers, underwater vehicles and other similar targets based on adaptive multi-feature fusion. This technique mainly uses target features, e.g., image feature, moment feature and HRRP (high resolution range profile) features selected by an Adaptive Feature Fusion method. The sea trial data collected in Sanya in January, 2009 are processed by the algorithm. Real data processing results demonstrate the Adaptive Multi-Feature Fusion based technique can effectively reduce the error probability.