SAR Target Feature Extraction and Recognition Based on 2D-DLPP

Abstract

In this paper, a new feature extraction algorithm named 2D-DLPP (Two-dimensional Discriminant Locality Preserving Projections) is used for SAR ATR (Synthetic Aperture Radar Automatic Target Recognition). First, SAR target images are preprocessed by log-transformation and 2D FFT, then 2D-DLPP is applied to extract target feature which can not only preserve local information by capturing the local geometry of manifold but also implement sample dimension reduction effectively. Finally, classification with SVM (Support Vector Machine) is performed to get the good recognition rate. Experimental results based on MSTAR (Moving and Stationary Target Acquisition and Recognition) SAR data demonstrate that 2D-DLPP can obtain more effective target feature and improve the recognition rate obviously compared with 2D-LDA (Two-dimensional Linear Discriminant Analysis).