浅海水下地形检测算法
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河南工业大学信息科学与工程学院;中国科学院空间信息处理与应用系统技术重点实验室;中国科学院电子学研究所;中国科学院研究生院,微波成像技术国家级重点实验室;中国科学院电子学研究所,河南工业大学信息科学与工程学院,微波成像技术国家级重点实验室;中国科学院电子学研究所

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Algorithm for detection of shallow water bottom topography
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School of Information Science and Engineering;Key Laboratory of Spatial Information Processing and Application System Technology;Institute of Electronics,Chinese Academy of Sciences;Graduate University of the Chinese Academy of Sciences,National Key Laboratory of Microwave Imaging Technology;Institute of Electronics,Chinese Academy of Sciences,School of Information Science and Engineering,National Key Laboratory of Microwave Imaging Technology;Institute of Electronics,Chinese Academy of Sciences

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    摘要:

    自动化检测算法是实现浅海水下地形动态监测的关键技术.提出了浅海水下地形特征变化方向的提取方法,证明了其提取的方向与SAR图像特征基本一致.研究了不变矩区域描述方法,证明了采用不变矩来描述浅海水下地形的区域特征,具有可行性和适应性.提出了SAR图像中浅海水下地形的检测算法,其中采用了平均不变矩并重新定义了不变矩的距离.最后实验验证了该检测算法具有一定的准确性.

    Abstract:

    Developing automatic shallow water bottom topography detection algorithm is a key technique for coastal ocean monitoring. A new method was proposed to retrieve the orientation of shallow water bottom topography from SAR imagery, and the result was in accordance with SAR image characteristic. The feasibility and adaptability of using invariant moments to descript region of shallow water bottom topography were studied. We proved that this method can be used to detect a region with or without shallow water bottom topography. Finally, we proposed a shallow water bottom topography detection algorithm for SAR images based on average invariant moments and redefined distance of invariant moments with reasonable accuracy.

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引用本文

王珂,洪峻,张元,明峰.浅海水下地形检测算法[J].红外与毫米波学报,2012,31(1):85~90]. WANG Ke, HONG Jun, ZHANG Yuan, MING Feng. Algorithm for detection of shallow water bottom topography[J]. J. Infrared Millim. Waves,2012,31(1):85~90.]

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历史
  • 收稿日期:2010-12-01
  • 最后修改日期:2011-05-31
  • 录用日期:2011-06-16
  • 在线发布日期: 2012-02-28
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