Ship target segmentation and detection in complex optical remote sensing image based on component tree characteristics discrimination
文献类型：会议论文
| 作者 | Zhang, Wei; Bian, Chunjiang; Zhao, Xiao; Hou, Qingyu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：国家空间科学中心
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