检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘洁瑜 魏文晓 赵彤 沈强 LIU Jieyu;WEI Wenxiao;ZHAO Tong;SHEN Qiang(Department of Missile Engineering,Rocket Force University of Engineering,Xi’an 710025,China;Northern Theater Joint Operations Command Center,Shenyang 110000,China)
机构地区:[1]火箭军工程大学,西安710025 [2]北部战区联合作战指挥中心,沈阳110000
出 处:《中国惯性技术学报》2020年第5期686-693,共8页Journal of Chinese Inertial Technology
基 金:陕西省自然科学基础研究计划(2020JQ-491)。
摘 要:在空对地场景下的目标检测领域中,传统的单阶段检测算法由于固定尺寸的输入,在对大分辨率图像检测时效果较差,尤其当图像中存在较多密集小目标时,漏检现象严重。因此,模仿人眼的目标搜索行为,提出了一种密集场景聚焦的双通道耦合目标检测算法。算法在You Only Look Once V3(Yolo V3)网络的基础上,增加了密集场景检测通道,对图像中的密集区域进行检测,建立场景耦合结构,将密集场景通道的特征信息与目标实例检测通道的信息进行融合,对检测难度较大的密集区域进行变分辨率检测,以提升对密集小目标的检测精度。在自制空对地密集场景数据集下验证,结果表明,该算法对密集小目标的检测有更好的效果,相比于传统的Yolo V3网络,在检测速度下降9.1帧/s的情况下,平均精度上提升了16.4%。In the field of target detection in air-to-ground scenarios,the traditional single-stage detection algorithm has a poor effect on large-resolution image detection due to fixed-scale input,especially when there are more dense and small targets in the image.The phenomenon of missed detection is serious.Therefore,imitating the target search behavior of the human eye,a two-channel coupled target detection algorithm focusing on dense scenes is proposed.Based on the You Only Look Once V3(YoloV3)network,the algorithm adds dense scene detection channels to detect dense areas in the image.The scene coupling structure is established to fuse the feature information of the dense scene channel with the information of the target instance detection channel.Difficult area variable resolution detection is used to improve the detection accuracy of dense and small targets.The algorithm is validated by self-made air-to-ground dense scene dataset.Experiments show that the proposed algorithm has better effect on the detection of dense and small targets.Compared with the traditional YoloV3 network,the average accuracy is increased by 16.4%when the detection speed drops by 9.1 frames/s.
分 类 号:U666.1[交通运输工程—船舶及航道工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:13.58.157.160