Recurrent neural network for high-resolution radar ship target recognition

被引：0
|
作者：
Wang, FX
Yu, WX
Guo, GR
机构：
来源：
ICR '96 - 1996 CIE INTERNATIONAL CONFERENCE OF RADAR, PROCEEDINGS | 1996年
关键词：
target recognition; recurrent neural network; sequence recognition; ship target; high resolution;
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The high-resolution radar waveform describes the amplitude of targets' multiple scattering centers and their distribution in the radial axis. As view from time domain, target waveform can also be regarded as a time sequence such that it can be classified using recurrent neural networks (RNN) which are suitable for time sequence processing. A modified partially RNN and its algorithm are proposed. This method reaches above 90% average recognition rate for 8 class high-resolution radar targets, and it is tolerant of time shift to a certain degree.
引用
收藏
页码：200 / 203
页数：4
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