红外与毫米波学报2025，Vol.44Issue(2)：311-325,15.DOI:10.11972/j.issn.1001-9014.2025.02.018
基于非凸低秩塔克分解的红外小目标检测方法
Infrared small target detection method based on nonconvex low-rank Tuck decomposition
摘要
Abstract
Low-rank and sparse decomposition method(LRSD)has been widely concerned in the field of infrared small target detection because of its good detection performance.However,existing LRSD-based methods still face the prob-lems of low detection performance and slow detection speed in complex scenes.Although existing low-rank Tuck de-composition methods have achieved satisfactory detection performance in complex scenes,they need to define ranks in advance according to experience,and estimating the ranks too large or too small will lead to missed detection or false alarms.Meanwhile,the size of rank is different in different scenes.This means that they are not suitable for real-world scenes.To solve this problem,this paper uses non-convex rank approach norm to constrain latent factors of low-rank Tucker decomposition,which avoids setting ranks in advance according to experience and improves the robustness of the algorithm in different scenes.Meanwhile,a symmetric GaussSeidel(sGS)based alternating direction method of multipliers algorithm(sGSADMM)is designed to solve the proposed method.Different from ADMM,the sGSADMM algorithm can use more structural information to obtain higher accuracy.Extensive experiment results show that the pro-posed method is superior to the other advanced algorithms in detection performance and background suppression.关键词
红外小目标检测/非凸低秩塔克分解/非凸秩接近范数/对称高斯-赛德尔的交替方向乘子法Key words
infrared small target detection/nonconvex low-rank Tuck decomposition/nonconvex rank approximation norm/symmetric GaussSeidel based alternating direction method of multipliers algorithm分类
信息技术与安全科学引用本文复制引用
杨俊刚,刘婷,刘永贤,李博扬,王应谦,盛卫东,安玮..基于非凸低秩塔克分解的红外小目标检测方法[J].红外与毫米波学报,2025,44(2):311-325,15.基金项目
国家自然科学基金(61921001) （61921001）
湖南省杰出青年基金(2024JJ2063) （2024JJ2063）
博士后面上基金(GZB20230982) （GZB20230982）
博士后资助计划(2023M744321) （2023M744321）
国家自然科学基金青年科学基金(62101567)Supported by the National Natural Science Foundation of China(61921001),the Outstanding Youth Foundation in Hunan Prov-ince(2024JJ2063),the Postdoctoral Fellowship Program of CPSF under Grant Number(GZB20230982),the China Postdoctoral Science Foundation(2023M744321),the Youth Fund of the National Natural Science Foundation of China(62101567) （62101567）
