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基于小波变换和梯度矢量流Snake模型的ERS-1 SAR图像的海岸线探测 被引量:8

Detection of Shoreline in SAR Image Based on Wavelet and GVF Snake Model
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摘要 利用合成孔径雷达来探测海岸线对船舶导航有重要意义。阐述了1种基于二进小波变换的从SAR图像中提取海岸线的方法。该方法首先利用在二进小波变换中边缘和噪声的奇异性随尺度变化具有不同的传播规律来检测边缘点,然后利用基于梯度矢量流的主动轮廓模型进行边缘点的连接。实验结果证明,这种方法可以有效地消除SAR图像中存在的斑点噪声对海岸线提取的影响,能准确地提取海岸线信息。 In this paper,a new method is explored,which can detect the shoreline in SAR images.The edge points are detected by Mallat's wavelet-based edge detection method firstly,and then the GVF active contour model is used to connect the edge points.The result of the experiment by ERS-1 SAR data shows the method explored in this paper can restrain the interference of speckle noise,and detect the shoreline precisely.
出处 《河北工业科技》 CAS 2004年第4期24-26,33,共4页 Hebei Journal of Industrial Science and Technology
关键词 SAR图像 边缘点 梯度矢量流 SNAKE模型 主动轮廓模型 二进小波变换 斑点噪声 合成孔径雷达 探测 海岸线 SAR image speckle noise wavelet edge detection active contour model shoreline
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参考文献3

  • 1MASON D C. Accurate and Efficient Determination of the Shoreline in ERS-1 SAR Image[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996,34:1 243-1 253.
  • 2MALLAT S. Singularity Detection and Processing with Wavelets[J]. IEEE Transactions on Information Theory, 1992, 38(2) :617-643.
  • 3MALLAT S. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11 (7) : 674-693.

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