基于反对称二进小波的SAR图像海洋表面油膜检测方法
Zero-Antisymmetrical Dyadic Wavelet-Based Oil Spill Detection Method in SAR Images
-
摘要: 海洋表面油膜检测是合成孔径雷达(SAR)很重要的应用领域之一。小波方法是近年来研究较多的图像边缘检测方法。通常的SAR图像油膜检测采用高斯函数一阶导和二阶导作为小波基函数,运算速度慢;该文采用反对称二进小波,利用小波变换多分辨率分析(MRA)思想,经多尺度综合得到油膜边缘图像。实验证明这是一种有效、有前途的SAR图像海洋表面油膜检测方法。
-
关键词:
- 合成孔径雷达;油膜检测;小波变换
Abstract: Oil spill detection is one of the very important application fields in Synthetic Aperture Radar (SAR) images. Wavelet method is an edge detection method broadly researched in resent years. Normal oil spill detection uses the first and second derivatives of a Gaussian function as the basic wavelet function, which has slow computing speed. This paper utilizes zero-antisymmetrical dyadic wavelet, using multi-resolution analysis and multi-scale integration to get oil spill edge images. The results demonstrate that it is a useful and promising method for oil spill detection in SAR images. -
Mallat Stephane, Zhong Sifen. Characterization of signals from multiscale edges[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1992, 14(7):710-[2]Canny John. A computational approach to edge detection[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1986, 8(6):679-[3]Fiscella B, Giancaspro A, Nirchio F, et al.. Oil spill detection using marine SAR images[J].International Journal of Remote Sensing.2000, 21(18):3561-[4]Solberg Anne H. Schistad, et al.. Automatic detection of oil spill in ERS SAR images. IEEE Trans. on Geoscience and Remote Sensing, 1999, 37(4): 1916 - 1924.[5]Liu A K, Wu S Y, Tseng W Y, et al.. Wavelet analysis of SAR images for coastal monitoring. Canadian Journal of Remote Sensing, 2000, 26(6): 494 - 500.[6]章国宝,叶桦,陈维南.基于正交小波变换的多尺度边缘提取.中国图像图形学报,1998,3(8):651-654.[7]许传祥,石青云,程民德.零对称和反对称二进小波及其在边缘检测中的应用.中国图象图形学报,1996,1(1):4-11.[8]Ristau J P, Moon Wooil M. Adaptive filtering of random noise in 2-D geophysical data[J].Geophysics.2001, 66(1):342-
计量
- 文章访问数: 2222
- HTML全文浏览量: 94
- PDF下载量: 703
- 被引次数: 0