基于模因算法的SAR图像处理

M. Aydemir, T. Gunel, S. Kargin, I. Erer, S. Kurnaz
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引用次数: 4

摘要

本研究将一种新发明的进化计算算法——模因算法用于合成孔径雷达(SAR)图像的数据处理。遗传算法(GA)自1990年由Holland博士发明以来,已经在广泛的工程应用中得到了普及。利用遗传方法对SAR图像进行处理,找到符合预定义标准的区域。在本研究中,搜索方法采用Memetic算法。结果表明,该算法在处理时间和寻找全局最小点方面优于确定性方法。该方法适用于需要在短时间内处理大量数据的SAR图像处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAR image processing by a memetic algorithm
In this study, a recently invented evolutionary computing algorithm known as memetic algorithm is utilized for data processing of synthetic aperture radar (SAR) imagery. Since it's invention by Dr. Holland in 1990's, Genetic Algorithm (GA) has already gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. In this study, the Memetic algorithm is used for the search method. It was seen that, the algorithm is superior to deterministic methods in terms of processing times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.
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