红外弱小目标检测算法综述  

An Overview of Infrared Dim and Small Target Detection Algorithms

作　　者：胡静 任立均 费璇 桑农 HU Jing;REN Li-jun;FEI Xuan;SANG Nong(Science ＆ Technology on Multi-Spectral hfformation Processing Laboratory,School of Automation Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学自动化学院多谱图像信息处理技术国防科技重点实验室,湖北武汉430074

出　　处：《测控技术》2018年第B09期4-9,共6页Measurement & Control Technology

基　　金：国家自然科学基金重点项目（61433007）

摘　　要：概述了红外弱小目标检测的军事意义和传统典型算法的分类方式,然后通过整理和分析近几年来国内外红外弱小目标检测技术的研究现状,归纳总结了目前发展的各类算法的原理和特点,指出了现有目标检测算法在实时性、鲁棒性和评价指标上存在的问题,探讨了弱小目标检测未来发展的趋势。The military significance of infrared dim and small target detection and the classification of traditional typical algorithms are summarized, and then the research status of infrared dim and small target detection technology at home and abroad in recent years is collected and analyzed, the principles and special points of the various algorithms developed at present are sum up, and the problems existing in the real-time detection, robustness and evaluation index of existing target detection algorithms are pointed out, and the future development trend of dim target detection is discussed.

关 键 词：红外弱小目标检测 局部对比度测量 小平面模型 机器学习 稀疏分解 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]