Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination

	Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination
	Zhang, Wei; Bian, Chunjiang; Zhao, Xiao; Hou, Qingyu
	2012
会议名称	Optoelectronic Imaging and Multimedia Technology II
会议日期	November 5, 2012 - November 7, 2012
会议地点	Beijing, China
通讯作者	Zhang, W.
中文摘要	Under the application background of sea-surface target surveillance based on optical remote sensing image, automatic sea-surface ship target recognition with complicated background is discussed in this paper. The technology this article focused on is divided into two parts, feature classification training and component class discrimination. In the feature classification training process, large numbers of sample images are used for feature selection and classifier determination of ship targets and false targets. Component tree characteristics discrimination achieves extraction of suspected target areas from complicated remote sensing image, and their features are entered to Fisher for ship target recognition. Experimental results show that the method discussed in this paper can deal with complex sea surface environment, and can avoid the interference of cloud cover, sea clutter and islands. The method can effectively achieve ship target recognition in complex sea background. © Copyright SPIE.
英文摘要	Under the application background of sea-surface target surveillance based on optical remote sensing image, automatic sea-surface ship target recognition with complicated background is discussed in this paper. The technology this article focused on is divided into two parts, feature classification training and component class discrimination. In the feature classification training process, large numbers of sample images are used for feature selection and classifier determination of ship targets and false targets. Component tree characteristics discrimination achieves extraction of suspected target areas from complicated remote sensing image, and their features are entered to Fisher for ship target recognition. Experimental results show that the method discussed in this paper can deal with complex sea surface environment, and can avoid the interference of cloud cover, sea clutter and islands. The method can effectively achieve ship target recognition in complex sea background. © Copyright SPIE.
收录类别	EI
会议主办者	The Society of Photo-Optical Instrumentation Engineers (SPIE); COS - Chinese Optical Society
会议录	Proceedings of SPIE - The International Society for Optical Engineering
会议录出版者	SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States
学科主题	空间技术
语种	英语
ISSN号	0277-786X
ISBN号	9780819493132
内容类型	会议论文
源URL	[http://ir.nssc.ac.cn/handle/122/2965]
专题	国家空间科学中心_空间技术部
推荐引用方式 GB/T 7714	Zhang, Wei,Bian, Chunjiang,Zhao, Xiao,et al. Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination[C]. 见:Optoelectronic Imaging and Multimedia Technology II. Beijing, China. November 5, 2012 - November 7, 2012.