红外技术2016，Vol.38Issue(8)：688-692,5.
基于小波分析的双色红外弱小目标检测算法
A Dual-Band Infrared Dim Target Detection Algorithm Based on Wavelet Analysis
摘要
Abstract
It is very difficult to detect infrared dim target in single-band because the comparative lack of message. Aimed at this problem, an algorithm of infrared dim target detection in dual-band based on wavelet analysis is introduced. The dual-band images are decomposed by wavelet filter firstly, and a compromise model which is between hard-threshold and soft-threshold models is introduced to dispose the high frequency wavelet coefficients, and the coefficients which are lower than the threshold will be changed to zero in order to restrain the background. The dual-band high frequency images will be fused by use of certain strategies and the low frequency images will be changed to zero, so the filtering image will be obtained by wavelet inverse transform, and the dim target will be detected by several frames accumulative detection finally. The experiments show that this algorithm can improve the target’s signal-noise ratio effectively, and it has favorable abilities in infrared dim target detection and real-time.关键词
小波分析/双色/弱小目标检测/信噪比Key words
wavelet analysis/dual-band/dim target detection/signal-noise ratio分类
信息技术与安全科学引用本文复制引用
史晓刚,白晓东,李丽娟,徐振亚,韩宇萌,刘佳鑫..基于小波分析的双色红外弱小目标检测算法[J].红外技术,2016,38(8):688-692,5.基金项目
航空科学基金项目 （）
