红外与毫米波学报2025，Vol.44Issue(2)：299-310,12.DOI:10.11972/j.issn.1001-9014.2025.02.017
红外图像暗弱目标轻量级检测网络
A lightweight dark object detection network for infrared images
摘要
Abstract
Small target detection has been a classic research topic in the field of infrared image processing,and the ob-jects are usually brighter than the local background.However,in some scenarios,the target brightness may be lower than the background brightness.For example,the civil airplanes usually have low-temperature skin when cruising,ap-pearing as dark points on medium spatial resolution thermal infrared satellite images.There are few features of these ob-jects,so the current detection networks are redundant.Hence,we proposed a lightweight dark object detection net-work,AirFormer.It only has 37.1 K parameters and 46.2 M floating-point operations on a 256×256 image.Consider-ing the lack of infrared dark object detection dataset,the authors analyzed the characteristics of airplanes on thermal in-frared satellite images,and then developed a simple simulation method for medium spatial resolution thermal infrared satellite images of civil aviation aircrafta,and constructed an infrared image weak target detection dataset IRAir using civil aviation aircraft as the simulation object.AirFormer achieves 71.0％at recall and 82.6％at detection precision on the IRAir dataset.In addition,after training on simulated data,AirFormer has achieved detection of real flying air-planes on the thermal infrared satellite images.关键词
人工智能/红外目标检测/轻量化网络/暗弱目标检测Key words
artificial intelligence/infrared target detection/lightweight network/dark object detection分类
信息技术与安全科学引用本文复制引用
李朝旭,林再平,徐清宇,安玮,贺旭,郭高伟,李淼,凌强,王龙光,肖超..红外图像暗弱目标轻量级检测网络[J].红外与毫米波学报,2025,44(2):299-310,12.基金项目
湖南省研究生科研创新项目(QL20230012,CX20240120) （QL20230012,CX20240120）
国防科技大学自主创新科学基金项目(22-ZZCX-042) （22-ZZCX-042）
国家自然科学基金创新群体项目(61921001) （61921001）
国家自然科学基金项目(62401591,62401589) （62401591,62401589）
中国博士后科学基金项目(GZB20230982,2023M744321)Supported by the Hunan Provincial Innovation Foundation For Postgraduate(QL20230012,CX20240120),the Science Technolo-gy Innovation Program of National Defense University(22-ZZCX-042),the Innovative Research Groups of the National Natural Science Foundation of China(61921001),the National Natural Science Foundation of China(62401591,62401589),the China Postdoctoral Science Foundation(GZB20230982,2023M74432) （GZB20230982,2023M744321）
