%0 Journal Article
%T State-of-the-art of Ship Detection and Recognition in Optical Remotely Sensed Imagery<br>光学遥感图像舰船目标检测与识别综述
%A WANG Yan-Qing
%A MA Lei
%A TIAN Yuan
%A <br>王彦情
%A 马雷
%A 田原
%J 自动化学报
%D 2011
%I 
%X 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.
%K Optical remotely sensed imagery
%K ship detection
%K automatic target recognition
%K image understanding<br>光学遥感图像
%K 舰船目标检测
%K 自动目标识别
%K 图像理解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=2CF049F8B8CD3710B724AAF52A787053&yid=9377ED8094509821&vid=42425781F0B1C26E&iid=9CF7A0430CBB2DFD&sid=4827968D9758D8D0&eid=C7A7E1E32985D389&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=47