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光学遥感图像舰船目标检测与识别综述
引用本文:王彦情,马雷,田原.光学遥感图像舰船目标检测与识别综述[J].自动化学报,2011,37(9):1029-1039.
作者姓名:王彦情  马雷  田原
作者单位:1.中国科学院自动化研究所综合信息系统研究中心 北京 100190
基金项目:国家自然科学基金(61101222,60873161,61005067)资助~~
摘    要:遥感图像舰船目标自动检测与识别是遥感图像处理与分析领域备受关注的课题, 其核心任务是判断遥感图像中是否存在舰船目标,并对其进行检测、分类与精确定位, 它在海面交通监控、船只搜救、渔业管理和海域态势感知等领域具有广阔的应用前景. 本文主要围绕光学卫星遥感图像中的舰船目标自动检测与识别, 分析舰船目标检测与识别面临的难点问题, 综述当前光学遥感图像舰船检测与识别的主要处理方法, 在此基础上指出研究中尚存在的问题并展望未来的发展趋势.

关 键 词:光学遥感图像    舰船目标检测    自动目标识别    图像理解
收稿时间:2010-11-22
修稿时间:2011-1-22

State-of-the-art of Ship Detection and Recognition in Optical Remotely Sensed Imagery
WANG Yan-Qing,MA Lei,TIAN Yuan.State-of-the-art of Ship Detection and Recognition in Optical Remotely Sensed Imagery[J].Acta Automatica Sinica,2011,37(9):1029-1039.
Authors:WANG Yan-Qing  MA Lei  TIAN Yuan
Affiliation:1.Integrated Information System Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
Abstract:Ship detection and recognition is one of the most active research topics in the field of remote sensing. This strong interest is driven by a wide spectrum of promising applications in many areas such as ocean traffic surveillance, ship rescuing, fisheries management, maritime situational awareness (MSA), etc. The aim of ship detection and recognition is to extract, identify and locate ship targets in remotely sensed images. This paper provides a comprehensive survey of recent developments on ship detection and recognition in optical remotely sensed imagery. The influencing factors are analyzed, and the state of the art methods are reviewed. Furthermore, the remaining problems and future development trends are provided for detecting and recognizing ship targets in optical remotely sensed images.
Keywords:Optical remotely sensed imagery  ship detection  automatic target recognition  image understanding
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