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.
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.
出处
《自动化学报》
EI
CSCD
北大核心
2011年第9期1029-1039,共11页
Acta Automatica Sinica
基金
国家自然科学基金(61101222
60873161
61005067)资助~~
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
Optical remotely sensed imagery, ship detection, automatic target recognition, image understanding
