中国光学（中英文）2024，Vol.17Issue(3)：538-547,10.DOI:10.37188/CO.2023-0178
难点注意力感知红外小目标检测网络
Indistinguishable points attention-aware network for infrared small object detection
摘要
Abstract
As aircraft maneuverability increases,multi-frame infrared small target detection methods are be-coming insufficient to meet detection requirements.In recent years,significant progress has been achieved in single-frame infrared small-target detection method based on deep learning.However,infrared small targets often lack shape features and have blurred boundaries and backgrounds,obstructing accurate segmentation.According to the problems,an indistinguishable points attention-aware network for infrared small object de-tection was proposed.First,potential target areas were acquired through a point-based region proposal mod-ule while filtering out redundant backgrounds.Then,to achieve high-quality segmentation,the mask bound-ary refinement module was utilized to identify disordered,non-local indistinguishable points in the coarse mask.Multi-scale features of these difficult points were then fused to perform pixel-wise attention modeling.Finally,A fine segmentation mask was generated through re-predicting the indistinguishable points attention-aware features by point detection head.The mAP of the proposed method reached 87.4 and 63.4 on the pub-licly available datasets NUDT-SIRST and IRDST,and the F-measure reached 0.8935 and 0.7056,respect-ively.It can achieve accurate segmentation in multi-detection scenarios and multi-target morphology,sup-pressing false alarm information while controlling the computational overhead.关键词
目标检测/深度学习/红外成像/红外小目标检测/注意力机制Key words
object detection/deep learning/infrared imaging/infrared small object detection/attention mech-anism分类
航空航天引用本文复制引用
王伯霄,宋延嵩,董小娜..难点注意力感知红外小目标检测网络[J].中国光学（中英文）,2024,17(3):538-547,10.基金项目
国家重点研发计划(No.2022YFB3902505) （No.2022YFB3902505）
国家自然科学基金重点项目(No.U2141231) （No.U2141231）
国家自然科学基金(No.62305032)Supported by National Key Research and Development Program(No.2022YFB3902505) （No.62305032）
Key Project of Na-tional Natural Science Foundation of China(No.U2141231) （No.U2141231）
National Natural Science Foundation of China(No.62305032) （No.62305032）
