碩士 / 華梵大學 / 資訊管理學系碩士班 / 95 / The coastal radar of Coast Guard Administration to seize and illegally in the maritime space, obtains the main tool of the dynamic information of maritime vessel; It is unable to predict the suspicious target automatically to coastal radars in the maritime space. To the suspicious dynamic studying and judging of the radar target , if can set up intelligent analysis tool , can offer illegal vessel trends early warning information , make at sea is it have accurate ability that send to dispose to seizing rapidly, in order to give play to resource greatest benefit.
The statistic learning algorithm of Support Vector Machines has already been applied to the classification question extensively. This research uses the Coast Guard Administration to seize the radar which smuggled the illegal immigration case to monitor the radar target in order to learn by Support Vector Machines in the past, and deal with to improve the sea to patrol the accuracy rate of prediction that studied and judged of radar with the materials; Shown , can improve the prediction performance of the classifying device effectively in treatment method before the materials designed in this research by the experimental result, can help duty personnel to predict the suspicious dynamic target of radar , the strong tool offering the sea area to enforce the law correctly.
| Identifer | oai:union.ndltd.org:TW/095HCHT0396005 |
| Date | January 2007 |
| Creators | Wei-Ming Chen, 陳偉明 |
| Contributors | Tsung-Luan Tseng, 曾綜源 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 66 |
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