基于视觉显著性的RX舰船目标检测
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  • 英文篇名:Ship Detection Based on Saliency-Based Visual of RX Algorithms
  • 作者:陈梦云 ; 厉小润
  • 英文作者:Chen Mengyun;
  • 关键词:目标检测 ; 视觉显著性 ; 异常检测
  • 英文关键词:target detection;;visual saliency;;anomaly detection
  • 中文刊名:GYKJ
  • 英文刊名:Industrial Control Computer
  • 机构:浙江大学电气工程学院;
  • 出版日期:2019-02-25
  • 出版单位:工业控制计算机
  • 年:2019
  • 期:v.32
  • 语种:中文;
  • 页:GYKJ201902040
  • 页数:3
  • CN:02
  • ISSN:32-1764/TP
  • 分类号:89-91
摘要
为了有效检测出海杂波明显情况下的舰船目标,提出了一种基于视觉显著性的目标检测算子。该算法在传统异常检测算子中引入了视觉显著性算法,引入视觉显著性算法可有效抑制背景像素,加强目标像素。实验结果表明,该算法在海况复杂的情况下,能有效检测出舰船目标,降低虚警率。
        In this paper,a saliency-based visual of RX algorithms for optical satellite images is proposed in order to detect ship target accurately when sea clutter has a big influence.Visual saliency could repress surround pixels and enhance target pixels.The experimence results indicate that the method can detect ship target in complex scene precisely and reduce false alarm rate.
引文
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