摘要
针对海空背景下红外小目标图像信噪比低、难以检测的情况以及传统检测方法需要图像帧数多、实时性差等缺点,基于Donoho的小波变换阈值化方法,提出了一种更加适合海空背景下红外小目标检测的新算法.该算法采用一种新的阈值求取方法以及更加简单的硬阈值化函数对图像进行处理.通过仿真实验将新算法与传统检测算法进行比较,实验结果表明,无论在处理效果还是实时性上,新算法都优于传统算法.
In order to slove the problem of low SNR, hard for detecting of IR small target in sea-sky background,the shortcomings of tradition algorithm needing for more frames of image, and the weaker character of real time, a new small target detection algorithm for the sake of more suitable to the backgroud was presented, which was based on thresholding process method with wavelet transform proposed by Donoho and applying a new threshold calculation and an easier hard-thresholding function. Comparing the new airthmetic with the traditions through simulation, the results show that the new airthmetie is better than others either in detection effect or character of real time.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2009年第3期725-728,共4页
Acta Photonica Sinica
基金
国家自然科学基金(60474018)资助
关键词
红外小目标
小波变换
阈值化
IR small target
Wavelet transform
Thresholding
作者简介
WANG Wen-long was born in 1982. He graduared from Xi＇an University of technology with his B. S. degree of electro-mechanical engineering in 2005. Now he is pursuing his M. S. degeree at Xidian University. His research interest focuses on in frared image processing.Tel：15991716299 Email：wenlongwang82@163. com
