摘要
介绍了Elman神经网络的基本原理及红外小目标检测的特点。利用Elman神经网络对红外图像进行背景估计,然后通过背景对消原理消去背景噪声,从而检测到潜在的小目标。运用Matlab7.0的神经网络工具箱进行了编程实验,编程仿真结果表明,该方法对红外小目标能取得较好的检测效果.
The principle of the Elman nueral network and the features of small infrared target detection are presented in this paper. The Elman neural network is used to estimate the background in an infrared image and then the background noise is eliminated according to the principle of background elimination. Thus, the potential small infrared target is detected. The Neural Network Toolbox in Matlab7.0 is used to do an experiment on programming. The experimental result shows that this method is effective for the detection of small infrared targets.
出处
《红外》
CAS
2007年第10期18-21,共4页
Infrared
