多重分形方法在涡旋遥感信息处理提取中的应用研究

Multifractal filtering method for extraction of ocean eddies from remotely sensed imagery

目前提取遥感影像中的涡旋信息主要用边缘探测技术,例如Canny算子和Hough算子等,然而由于涡旋信息和遥感影像本身的复杂性和模糊性,用传统的方法不能取得理想的提取结果.基于多重分形技术,利用海洋涡旋信息的物理特征时空形态的自相似性来提取涡旋,用NASA MODIS,SeaWiFS和NOAA在典型海区如边界流的卫星影像进行试验,研究结果表明,用多重分形方法获取的涡旋信息非常有利于对海洋涡旋的深刻认识和分析研究.

Traditional methods to extract ocean wave eddy information from remotely sensed imagery mainly use the edge detection technology such as Canny and Hough operators.However,owing to the complexities of ocean eddies and images themselves,it is sometimes difficult to successfully detect ocean eddies using these methods.A multifractal filtering technology is proposed for the extraction of ocean eddies and demonstrated using NASA MODIS,SeaWiFS and NOAA satellite data set in the typical area,such as western boundary current.Results are demonstrated that the new method has a superior performance over the traditional methods.