北京航空航天大学学报2026,Vol.52Issue(3):706-712,7.DOI:10.13700/j.bh.1001-5965.2023.0852
一种无锚旋转框遥感图像船只目标检测算法
An anchor-free rotated box remote sensing image ship object detection algorithm
摘要
Abstract
Accurate and efficient ship detection plays a crucial role in safeguarding maritime interests and building a maritime powerhouse,with significant practical value.However,anchor boxes are the mainstay of current ship detection algorithms based on optical remote sensing images.These algorithms have limited generalization capabilities,a high computational resource requirement,and a huge number of hyperparameters.Although natural image object detection algorithms have improved these issues by adopting anchor-free methods,they can only achieve horizontal box detection and are unable to handle the unique characteristics of ship targets,such as elongated shapes,varying angles,and tight arrangements.To address these issues,this paper designs an anchor-free,single-stage remote sensing image ship detection algorithm.In particular,based on CenterNet,this research suggests a distribution-prior based confidence coefficient prediction branch to produce higher quality positive samples for the ship detection job.More precise rotation angle representation is achieved by limiting the output space of angles using a hyperbolic activation-based angle prediction branch.The use of a variable positive-negative sample label assignment technique can speed up network convergence by providing dynamic,fine-tuned supervision information.Experiments on the HRSC2016 dataset validate the superiority of the proposed algorithm compared to other advanced algorithms and confirm the effectiveness of each module.关键词
遥感图像/光学遥感图像/船只目标检测/无锚检测器/旋转框目标检测Key words
remote sensing image/optical remote sensing image/ship object detection/anchor-free detector/rotated box object detection分类
航空航天引用本文复制引用
李露,陈科研,刘辰阳,史振威..一种无锚旋转框遥感图像船只目标检测算法[J].北京航空航天大学学报,2026,52(3):706-712,7.基金项目
国家自然科学基金(62271018) (62271018)
北京航空航天大学教改项目:航天信息工程专业综合实验教学改革(2023-15-02-08) National Natural Science Foundation of China(62271018) (2023-15-02-08)
Teaching Reform Project of Beihang University:Comprehensive Experimental Teaching Reform of Aerospace Information Engineering(2023-15-02-08) (2023-15-02-08)