• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Image and Signal Processing for Remote Sensing VIII, Sep 24-27, 2002, Agia Pelagia, Crete, Greece >SAR image analysis of the sea surface by local fractal dimension estimation
【24h】

SAR image analysis of the sea surface by local fractal dimension estimation

机译：基于局部分形维数估计的海面SAR图像分析

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A wavelet-based approach to local fractal dimension estimation of SAR images of the sea surface is presented. Fractal analysis is considered as a tool for image texture characterization which can play a fundamental role to automatically detect oil slicks, and possibly distinguish them from natural surface films. A fractional Brownian motion (fBm) model is assumed for the clean sea surface. FBm processes have been proved to be suitable to describe signals backscattered by many natural surfaces, particularly by the sea surface within a certain range of scales. By using the properties of the average power spectra of fBm's, it is possible to estimated the fractal dimension, as demonstrated on synthetic fBm realizations. In this paper, a redundant wavelet representation is applied for estimating the local fractal dimension of the sea surface. By using this technique, which allows to operate at the original image resolution, all discontinuities of the fractal sea surface can be detected and accurately localized. Experimental results on true SAR images show that without considering the backscattcr coefficient for calculating the fractal dimension, but only textural features, it is possible to detect oil slicks and man-made objects on the sea surface.
机译：提出了一种基于小波的海面SAR图像局部分形维数估计方法。分形分析被认为是图像纹理表征的一种工具，它可以在自动检测浮油并可能将其与自然表面膜区分开方面发挥重要作用。假定清洁海面的分数布朗运动（fBm）模型。事实证明，FBm过程适合描述许多自然表面，尤其是在一定比例范围内的海面反向散射的信号。通过使用fBm的平均功率谱的特性，可以估计分形维数，如合成fBm的实现所示。在本文中，冗余小波表示法用于估计海面的局部分形维数。通过使用允许以原始图像分辨率进行操作的这种技术，可以检测到分形海面的所有不连续性并将其精确定位。在真实SAR图像上的实验结果表明，不考虑用于计算分形维数的反折系数，仅考虑纹理特征，就可以检测海面上的浮油和人造物体。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号