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Research on Matching of the Remote Sensing Image Matching Based on Histogram Invariant Moments and Genetic Algorithms

机译:基于直方图不变矩和遗传算法的遥感图像匹配匹配研究

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摘要

Based on the histogram invariant moments and Genetic Algorithms, a new remote sensing image matching method is developed to provide robust matching between the remote sensing images having a change in rotation or scale. Image pyramid technology is integrated into the Genetic Algorithms to provide an effective and robust search order. Histogram invariant moment which is invariant to rotation is used as the image feature descriptor. This method has a good performance in accuracy and speed. At the last part of the paper, a Beijing 5m SPOT image is used as the experiment data to show the result.
机译:基于直方图不变的矩和遗传算法,开发了一种新的遥感图像匹配方法,以在旋转或比例变化的遥感图像之间提供鲁棒匹配。图像金字塔技术集成到遗传算法中,以提供有效且强大的搜索顺序。直方图不变时刻旋转的时刻用作图像特征描述符。该方法的精度和速度具有良好的性能。在本文的最后一部分,北京5M点图像用作实验数据以显示结果。

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