光学遥感图像中的飞机目标检测技术研究综述  

Survey on Aircraft Detection in Optical Remote Sensing Images

作　　者：祝文韬 谢宝蓉 王琰 沈霁 朱浩文 ZHU Wen-tao;XIE Bao-rong;WANG Yan;SHEN Ji;ZHU Hao-wen(Shanghai Academy of Spaceflight Technology,Shanghai 201109,China)

机构地区：[1]上海航天技术研究院,上海201109

出　　处：《计算机科学》2020年第S02期165-171,182,共8页Computer Science

摘　　要：光学遥感图像中的飞机目标检测技术已被广泛应用于城市规划、航空交通以及军事侦察领域。目前尽管已有大量研究,但仍然存在很多问题亟待解决。文中回顾了该技术研究现状,并从遥感图像目标检测思路出发,将飞机目标检测方法总结为3类,对这3类检测方法的概念和研究情况分别进行了阐述,并在此基础上进行了比较分析,重点研究了深度学习方法在该领域的研究情况并讨论了样本和数据集问题,最后讨论了飞机目标检测的关键技术难点,并对该领域的未来发展趋势做了展望。Aircraft detection technology in optical remote sensing images has been widely used in urban planning,aviation and military reconnaissance.Despite a lot of research,there are still many problems to be solved.The paper review the research status of this technology.Starting from the thoughts on remote sensing image target detection,we divide the aircraft target detection methods into three categories and separately elaborate the concepts and research status of these three types of detection methods and conduct comparative analysis on this basis.We focus on the research of deep learning methods in this field and discuss the issues of sample and data set.Then we state the technical difficulties in aircraft target detection.Finally we consider and discuss the object detection task of high-resolution remote sensing image,and made a prospect for the future development of the field.

关 键 词：光学遥感图像 飞机目标检测 模板匹配 机器学习 深度学习 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]