智能系统学报2011，Vol.6Issue(2)：126-131,6.DOI:10.3969/j.issn.1673-4785.2011.02.006
灰色预测和混沌PSO的红外小目标检测
The detection of a small infrared target based on gray prediction and chaotic PSO
摘要
Abstract
By analyzing the characteristics of a small target and the background of an infrared image, a detection method of an infrared small target based on gray prediction and chaotic particle swarm optimization ( PSO) was proposed. First, the GM( 1 ,1) model of gray system theory was adopted to predict the infrared image background in a time domain. The subtraction of the source image minus the predicted image gave the residual image. As a result,the background was suppressed and the target was enhanced. Then, a two-dimensional histogram oblique segmentation method based on chaotic PSO and fuzzy maximum entropy was presented. The residual image was segmented by this method, leading to the detection of the small target. The experimental results show that the proposed method can sigificantly increase the detection probability of an infrared target to achieve long-range small target detection.关键词
红外小目标检测/背景抑制/灰色预测/模糊最大熵/混沌粒子群Key words
detection of infrared small target/ background suppression/ gray prediction/ fuzzy maximum entropy/chaotic particle swarm optimization分类
信息技术与安全科学引用本文复制引用
尹丹艳,吴一全..灰色预测和混沌PSO的红外小目标检测[J].智能系统学报,2011,6(2):126-131,6.基金项目
国家自然科学基金资助项目(60872065) （60872065）
航空科学基金资助项目(20105152026):南京大学汁算机软件新技术国家重点实验室开放基金资助项目(KFKT2010B17). （20105152026）
