Application of Combining Unsupervised Cluster with SVM Binary Tree in the SAR Automatic Target Recognition System

HE Xiao-qing · Journal of Chengdu University · 2008

Synthetic Aperture Radar Automatic Target Recognition is one of key techniques handling radar signal of a new battlefield awareness.By using this method in this paper,combining unsupervised cluster with SVM Binary Tree was applied to SAR automatic target Recognition.The experiments by using MSTAR's T-72 Variant data base acquired good identification effect.This has provided a new method or idea for Synthetic Aperture Radar Automatic Target Recognition.

Read the paper · More papers on PaperTik