Dim target detection in infrared image sequences using accumulated information

被引:1
作者
He, Wei [1 ]
Zhang, Li [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源
INNOVATIVE ALGORITHMS AND TECHNIQUES IN AUTOMATION, INDUSTRIAL ELECTRONICS AND TELECOMMUNICATIONS | 2007年
关键词
D O I
10.1007/978-1-4020-6266-7_89
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The targets in infrared images are usually dim and small, buried under heavy clutter and noise. Recognition of such targets is a challenging task, especially in detecting in real-time and low false rate. In this paper, we present a new target detection scheme based on accumulated information, and a neural network structure to realize this method is also introduced. Computer simulation was carried out and the satisfactory result showed substantial reduction in computational complexity.
引用
收藏
页码:493 / +
页数:2
相关论文
共 4 条
[1]  
CHEN HX, 1994, AER EL C 1994 NAECON, V1, P137
[2]   DIM TARGET DETECTION USING HIGH-ORDER CORRELATION METHOD [J].
LIOU, RJ ;
AZIMISADJADI, MR .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1993, 29 (03) :841-856
[3]  
PATRA JC, 2005, NEURAL NETWORKS 2005, V5, P3144
[4]  
ROTH MW, 1990, IEEE T NEURAL NETWOR, V1, P2843