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-