星载SAR图像船舶及航迹检测

杨文, 孙洪, 徐新, 徐戈

杨文, 孙洪, 徐新, 徐戈. 星载SAR图像船舶及航迹检测[J]. 武汉大学学报 ( 信息科学版), 2004, 29(8): 682-685.
引用本文: 杨文, 孙洪, 徐新, 徐戈. 星载SAR图像船舶及航迹检测[J]. 武汉大学学报 ( 信息科学版), 2004, 29(8): 682-685.
YANG Wen, SUN Hong, XU Xin, XU Ge. Detection of Ships and Ship Wakes in Spaceborne SAR Imagery[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8): 682-685.
Citation: YANG Wen, SUN Hong, XU Xin, XU Ge. Detection of Ships and Ship Wakes in Spaceborne SAR Imagery[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8): 682-685.

星载SAR图像船舶及航迹检测

基金项目: 国家自然科学基金资助项目(60372057,40376051)
详细信息
    作者简介:

    杨文,博士生。现主要从事SAR图像处理与分析及其应用研究。E-mail:yangwenwu@263.net

  • 中图分类号: TP751;P236

Detection of Ships and Ship Wakes in Spaceborne SAR Imagery

  • 摘要: 研究了星载SAR图像中船舶目标及其航迹的检测提取方法。通过扩展分形特征检测船舶目标,在目标周围运用局部Radon变换检测航迹。实验结果表明,本文方法对于静止和运动船舶目标的检测都具有较强的鲁棒性。
    Abstract: This paper discusses the detection of ships and ship wakes, and proposes a scheme with a series of steps for combined detection.The extended fractal (EF) feature is a detection statistic, which can greatly enhance the detection probability.The experiments show that the EF features provide improved detections performance.The Radon transform is commonly used in algorithms for detecting linear features in imagery. The results demonstrate the ability of this approach to successfully detect the linear components of ship wakes visible in SAR imagery.
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出版历程
  • 收稿日期:  2004-04-09
  • 发布日期:  2004-08-04

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