IRNet:基于Anchor-Free的地面红外目标检测方法  

IRNet:Anchor-Free for Ground Infrared Target Detection Method

作　　者：徐叶斌 赵晓枫 刘少龙 夏玉婷 张文文 郑超 XU Yebin;ZHAO Xiaofeng;LIU Shaolong;XIA Yuting;ZHANG Wenwen;ZHENG Chao(Rocket Force Engineering University,Xi'an 710000,China;Aviation Industry Corporation of China Xi'an Aviation Computing Technology Institute,Xi'an 710000,China)

机构地区：[1]中国人民解放军火箭军工程大学,西安710000 [2]航空工业西安航空计算技术研究所,西安710000

出　　处：《电光与控制》2024年第12期72-77,90,共7页Electronics Optics & Control

基　　金：国家自然科学基金(41404022);陕西省自然科学基金面上项目(2015JM4128)。

摘　　要：地面红外目标检测是目标侦察、智能感知和伪装防护等领域的重要研究内容,针对基于锚框的目标检测模型在进行特征提取时需要锚框的指导,会产生大量与锚框有关的计算参数并导致检测不精细、泛化性能差、易发生误检漏检的问题,以基于图像分割思想的无锚框目标检测模型为基础,构建了基于可变形卷积进行特征提取的主干网络,通过卷积核自适应目标形态,增强网络对目标特征的提取效果;提出了联合空间和通道的注意力机制,从空间维度和通道维度对目标进行注意力聚焦,实现了对目标特征的三维关注,提升目标检测模型对目标信息的获取能力。最终构建的地面红外目标检测模型在Infrared-VOC数据集上检测精度达到了91.3%,优化了基于无锚框的地面红外目标检测模型的整体性能。Ground infrared target detection is an important research content in the fields of target reconnaissance,intelligent perception and camouflage protection.Aiming at the target detection model based on anchor frame,it needs the guidance of anchor frame when extracting features,which will produce a large number of calculation parameters related to anchor frame,and lead to inaccurate detection,poor generalization performance and easy to miss detection.Based on the target detection model without anchor frame based on the idea of image segmentation,a backbone network based on deformable convolution for feature extraction is constructed,and the convolution kernel is used to adapt the target shape to enhance the network's extraction effect on target features.Combining the attention mechanism of space and channel,focus on the target from the spatial dimension and channel dimension,realize the three-dimensional attention to the target feature,and improve the target information acquisition ability of the target detection model.The proposed ground infrared target detection model reached a detection accuracy of 91.3%on the Infrared-VOC dataset,and the overall performance of the ground infrared target detection model based on the Anchor-Free frame is optimized.

关 键 词：深度学习 地面红外目标检测 智能感知 无锚框 可变形卷积 并联注意力机制 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]