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基于可见光遥感图像的船只目标检测识别方法
引用本文:陈亮,王志茹,韩仲,王冠群,周浩天,师皓,胡程,龙腾.基于可见光遥感图像的船只目标检测识别方法[J].科技导报(北京),2017,35(20):77-85.
作者姓名:陈亮  王志茹  韩仲  王冠群  周浩天  师皓  胡程  龙腾
作者单位:1. 北京理工大学信息与电子学院雷达技术研究所;嵌入式实时信息处理技术北京市重点实验室, 北京 100081;
2. 清华大学电子系, 北京 100084
基金项目:国家自然科学基金项目(91438203)
摘    要: 基于光学遥感图像提取船只目标是海洋信息感知中的重要应用方向,主要任务包括在广域大视场图像中快速检测定位船只目标,并在检测船只目标的基础上对目标信息进行进一步的提取与分类,该研究无论在民用及军事方面都具有重要意义。本文围绕船只检测识别方法中预处理及目标检测、分类等主要环节,阐述了各环节面临的难点问题及主要解决方法,指出了目前存在的问题,展望了基于光学遥感图像技术的发展趋势。

关 键 词:遥感图像  船只检测  目标识别  特征提取  深度学习  
收稿时间:2017-09-25

A review of ship detection and recognition based on optical remote sensing image
CHEN Liang,WANG Zhiru,HAN Zhong,WANG Guanqun,ZHOU Haotian,SHI Hao,HU Cheng,LONG Teng.A review of ship detection and recognition based on optical remote sensing image[J].Science & Technology Review,2017,35(20):77-85.
Authors:CHEN Liang  WANG Zhiru  HAN Zhong  WANG Guanqun  ZHOU Haotian  SHI Hao  HU Cheng  LONG Teng
Institution:1. Beijing Key Laboratory of Embedded Real-time Information Processing Technology;Lab of Radar Research, Schoool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
2. Department of Electronics, Tsinghua University, Beijing 100084, China
Abstract:Ship detection based on optical remote sense images is an important application direction in the marine information perception. Its primary tasks include the fast detection of ship targets in a large view field and the further extraction and classification of the targets based on the ship detection. It is of great significance both in civilian and military applications. This paper reviews the main achievements in that field, focusing on the difficulties involved. Finally, the existing problems and the future development are discussed.
Keywords:remote sensing image  ship detection  target recognition  feature extraction  deep learning  
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