电讯技术2025，Vol.65Issue(5)：710-718,9.DOI:10.20079/j.issn.1001-893x.240822002
一种动态自适应聚合的可见光红外图像目标检测识别方法
A Dynamic Adaptive Aggregation Method for Visible and Infrared Image Target Detection and Recognition
摘要
Abstract
Multi-band image object detection and recognition is one of the important fundamental tasks,which aims to improve the target perception effect by supplementing and perfecting the target features through the imaging characteristics of different sensors,and has important practical significance for enhancing the intelligence level in fields such as transportation,medical,and military applications.Addressing the issue of poor detection and recognition results in object detection due to such factors as illumination,occlusion,and complex backgrounds,a dynamic adaptive aggregation visible and infrared image object detection and recognition method combining the complementary benefits of multi-source sensors is proposed.By designing a dynamic aggregation structure based on channel attention mixing and quadratic dynamic weight connection and using an improved path expansion Neck structure for semantic and spatial information interaction,this method fully explores the complementarity of multi-band images to improve the accuracy of multi-band image object fusion detection.The mean average precision(mAP)of the proposed method on three public datasets is more than 4 percentage points higher than that of the comparison model without the dynamic aggregation structure and the path expansion Neck.关键词
多波段图像/融合识别/动态聚合/深度学习Key words
multi-band image/fusion recognition/dynamic aggregation/deep learning分类
计算机与自动化引用本文复制引用
吴元,朱佩佩,李雪,谢勋伟,王贤圆..一种动态自适应聚合的可见光红外图像目标检测识别方法[J].电讯技术,2025,65(5):710-718,9.基金项目
国家自然科学基金青年科学基金(62303433) （62303433）
