An ISAR Automatic Target Recognition Approach Based on SBR-based Fast Imaging Scheme and CNN

Abstract

A convolutional neutral network has been proposed to identify different classes of targets in this paper. The database of CNN can be acquired by using SBR-based fast image scheme. The numerical results show the efficiency and accuracy for the construction of database. Moreover, it can achieve accuracy of 95% for the 3-class task.