一种改进Hausdorff距离和自适应遗传搜索的遥感目标匹配方法A remote sensing object matching approach based on an improved Hausdorff distance and autoadaptive genetic algorithm
龚志辉,张春美,孙雷,黄艳
摘要(Abstract)：
采用快速点提取算子SIFT算子提取特征点,减少图像数据量,针对传统Hausdorff距离对噪声、出格点较敏感的问题对其进行改进,并以改进后的鲁棒Hausdorff距离作为匹配测度,利用非遍历而又有效的遗传搜索策略进一步提高了匹配速度。对发生旋转变形和灰度变化的遥感影像进行模拟实验,实验结果证明了该算法的有效性和快速性。
关键词(KeyWords)： 特征点提取;Hausdorff距离;遗传算法;匹配
基金项目(Foundation):
作者(Author): 龚志辉,张春美,孙雷,黄艳
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