光学遥感图像飞机目标识别算法  

Aircraft Target Recognition Algorithms in Optical Remote Sensing Images

作　　者：胡楠 李润生 王载武 HU Nan;LI Run-sheng;WANG Zai-wu(Information Center of Ministry of Culture and Tourism,Beijing 100740,China;PLA Strategic Support Force Information Engineering University,Henan 450001,China)

机构地区：[1]文化和旅游部信息中心,北京100740 [2]战略支援部队信息工程大学,河南450001

出　　处：《影像技术》2020年第2期55-57,共3页Image Technology

摘　　要：光学遥感图像中蕴含着大量信息,更新速度非常快。使用人工方法对光学遥感图像进行判读和目标的识别显然早已达不到现代社会各领域的需求。实时、高效地从光学遥感图像中识别出感兴趣目标具有非常重要的意义。本文对基于人工智能的图像飞机识别研究现状进行了总结,方便后续学者研究。Optical remote sensing images contain a lot of information and update very fast. It is obvious that the use of artificial methods to interpret and identify optical remote sensing images can not meet the needs of modern society in all fields. Real-time and efficient recognition of interested objects from optical remote sensing images is of great significance. In this paper, the research status of AI-based image aircraft recognition is summarized for the convenience of follow-up scholars.

关 键 词：遥感图像 深度学习 飞机识别 Faster R-CNN 

分 类 号：TP7[自动化与计算机技术—检测技术与自动化装置]