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Guo Yue, Wang Xiaofeng. Oil spill detection by SAR images based on feature selection and fourier fractal[J]. Haiyang Xuebao, 2014, 36(5): 61-67. doi: 10.3969/j.issn.0253-4193.2014.05.007
Citation: Guo Yue, Wang Xiaofeng. Oil spill detection by SAR images based on feature selection and fourier fractal[J]. Haiyang Xuebao, 2014, 36(5): 61-67. doi: 10.3969/j.issn.0253-4193.2014.05.007

Oil spill detection by SAR images based on feature selection and fourier fractal

doi: 10.3969/j.issn.0253-4193.2014.05.007
  • Received Date: 2013-10-02
  • Rev Recd Date: 2013-11-29
  • In this paper,a novel algorithm is present for oil spill detecting from look-alikes on SAR image. It based on Fourier fractal and feature selection. Fractal characteristics have an infinite number of details,and it has self-affine characteristics in different scales. These geometric characteristics are identical with oil film and look-alikes surface very well. The feature space of this method is composed by Fourier fractal characteristics. By using the differential evolution feature selection method,we select important eigen values(IEs) from total sample space. By using ANN and IEs,we classify the sample space. Experimental results show that classify accuracy rate reach the 100% when using selected eigenvectors. The algorithm gets the purpose of dimension reduction while select the important feature. This idea can be applied to other high-dimensional feature-based recognition system.
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