Efficient Construction of Training Database for Identification of Aircraft ISAR Images

摘要：

This paper presents a new paradigm for classification of aircraft inverse synthetic aperture radar (ISAR) images. A database for identification is efficiently constructed using various 3-D aircraft flight scenarios. Simulation results demonstrate that this method can reduce the memory space for target identification significantly compared to the conventional methodology while maintaining reliable identification performance.

关键词： Inverse Synthetic Aperture Radar (ISAR) Target Classification

作者: G.-G. Choi S.-K. Han K.-T. Kim

作者单位: Dept. of Electrical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 520-523

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）