教師資料查詢 | 類別: 期刊論文 | 教師: 吳孟倫 MENG-LUEN WU (瀏覽個人網頁)

標題:Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
學年
學期
出版(發表)日期2019/03/01
作品名稱Abnormal Maritime Activity Detection in Satellite Image Sequences Using Trajectory Features
作品名稱(其他語言)
著者C. S. Fahn; G. Ling; M. Y. Yeh; P. Y. Huang; M. L. Wu
單位
出版者
著錄名稱、卷期、頁數International Journal of Future Computer and Communication 8(1), pp. 29-33
摘要Maritime security has gained much attention these days because of the frequent interaction between countries with marine borders. Surveillance systems on land are installed on a fixed point, while there is no mounting point for marine surveillance. Fortunately, with the advancement of aerospace technology, the maritime monitoring is possible with continuous satellite image sequences. In this paper, we proposed a complete scheme for maritime surveillance using image sequences on embedded satellite systems, including maritime object detection, tracking, and abnormal activity classification. The recall rate for object detection is 78%. The recall rate for tracking is 91%. The recall rate for anomaly detection is 78%. The FPS is one frame per second on a low power-consuming device installable on a satellite system. The proposed scheme is helpful for the national defense and is labor saving for coast guard affairs.
關鍵字Satellite image analysis;intelligent surveillance;ship detection;abnormal detection;trajectory analysis
語言英文(美國)
ISSN2010-3751
期刊性質國外
收錄於EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 尊嚴就業與經濟發展,產業創新與基礎設施,氣候行動,水下生命
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