红外与毫米波学报2011，Vol.30Issue(2)：162-166,5.
采用剪切波变换的红外弱小目标背景抑制
Infrared dim and small target background suppression using shearlet transform
摘要
Abstract
A new background suppression method based on combined shearlet transform and Bayeslan mechamsm was proposed to solve the problem which is dim and small target detection contained complex sky clouds and ground background clutter for infrared search and tracking system. Firstly, according to difference of distributed charateristiscs between target and background clutter, in infrared image. the shearlet transform was adopted to decompose the origimal infrared image into multi-scale and multi-direction, which extracts multi-scale and multi-direction detail features of origimal image. Then,Gaussian scale mixture ( GSM ) model was introduced to separate dim, small target and background clutter from infrared image for suppression background. Finally, target image was obtained by using classical adaptive thresholding segmentation technique and target detection implemented. When compared with two dimensional least mean square (TDLMS) method,several groups of experimental results demonstrate that the proposed method can suppress complicated background in dim small target image effectively.关键词
目标检测/背景抑制/剪切波变换/高斯尺度混合模型Key words
target detection/ background suppression/ shearlet transform/ Gaussian scale mixture model分类
信息技术与安全科学引用本文复制引用
秦翰林,李佳,周慧鑫,赖睿,刘上乾..采用剪切波变换的红外弱小目标背景抑制[J].红外与毫米波学报,2011,30(2):162-166,5.基金项目
中央高校基本科研业务费专项资金(72005623,72104810) （72005623,72104810）
国家部委科技项目(41101050104) （41101050104）
教育部科学技术研究重点项目(108114) （108114）
国家自然科学基金(60902080) （60902080）
