基于遗传算法的合成孔径雷达图像处理新方法

International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of Pub Date : 1900-01-01 DOI:10.1109/RAST.2003.1303944

M. Aydemir, T. Gunel, I. Erer, S. Kurnaz

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引用次数: 5

摘要

本研究将进化计算算法应用于行星地质合成孔径雷达(SAR)图像的数据准备和分析。遗传算法(GA)自上世纪90年代由J.H. Holland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。结果表明，该算法在处理时间和寻找全局最小值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。

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A novel approach for synthetic aperture radar image processing based on Genetic Algorithm

In this study, an evolutionary computing algorithm is utilized for data preparation and analysis of synthetic aperture radar (SAR) imagery for planetary geology. Since its invention by J.H. Holland in the 1990s, the 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. 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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International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of

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