航空兵器Issue(4)：40-44,61,6.
基于 GCV 小波阈值去噪的红外弱小目标检测
Dim Small Target Detection Based on Generalized Cross Validation Wavelet Thershold Denoising
摘要
Abstract
Concerning dim small target detection from infrared image ,a new method based on gener -alized cross validation( GCV) wavelet threshold denoising is presented .Firstly, for an IR image , a wave-let multiscale decomposition method is used to suppress clutter .Then the GCV criteria is applied to calcu-late the GCV threshold for each subband and the images are segmented separately for denoising .Finally, inverse descret wavelet transform ( IDWT) method is used for denoised wavelet coefficients and the target is segmented from the reconstructed image .Experimental results show that the presented algorithm can suppress background and noise well , which detects and segments dim small targets efficiently from recon-structed image .关键词
红外弱小目标检测/小波/广义交叉确认(GCV)准则/阈值去噪Key words
infrared dim small target detection/wavelet/generalized cross validation/threshold de-noising分类
信息技术与安全科学引用本文复制引用
张蓬蓬,叶一舟,蔡云泽..基于 GCV 小波阈值去噪的红外弱小目标检测[J].航空兵器,2014,(4):40-44,61,6.基金项目
国家自然科学基金资助（61004088，61374160）；航空科学基金资助 （）
