低信噪比下的红外弱小目标检测算法研究综述

低信噪比条件下的红外弱小目标检测问题一直是近些年来国内外学者研究的一个热门课题。针对复杂背景下红外图像弱小目标检测困难、信噪比低的问题,越来越多的新方法不断被提出。更好的实时性,更高的检测概率,更低的虚警率成为了研究者们追求的目标,实时、鲁棒、通用成为了红外弱小目标检测信号处理算法的核心要求。本文梳理了红外弱小目标检测的常用方法以及其技术发展,在介绍一些传统算法发展的基础上,重点介绍了红外弱小目标检测的几类典型算法的原理、发展及其优化算法,为后续红外弱小目标检测的研究提供了便利。

A review of infrared dim small target detection algorithms with low SNR

The detection of infrared dim small targets with low SNR has been a hot topic in recent years.Lots of new methods have been proposed to solve the problem of dim small targets detection and low signal-to-noise ratio in infrared images under complex background.Better real-time performance,higher detection probability and lower virtual scene rate have become the targets pursued by researchers,and real-time,robust and general have become the core requirements of infrared dim small targets detection algorithm.In this paper,the common methods of infrared dim small targets detection and its technical development are summarized.Based on the introduction of some traditional algorithm development,the development and optimization algorithm of several types of typical algorithms for infrared dim small targets detection are mainly introduced,which provides convenience for the subsequent research on infrared dim small targets detection.