提出了两种可以获取均匀分布的控制点的遥感高分辨率影像空间域匹配方法。常规的灰度模板匹配方法为先进行手工选点粗匹配，然后用特征提取算子在原始图像中提取控制点，最后根据控制点提取灰度模板进行精匹配。基于上述方法，提出了两种控制点均匀化方法，分别为在控制点提取时和模板匹配后对控制点进行均匀化，并用实验证明匹配精度因均匀化的控制点分布得到有效提高。

This paper mainly suggested two ways of matching method in spatial domain for high-resolution remote sensing images in order to obtain equalized distributing GCPs Ordinary matching method first manually acquires a few initial GCPs, then extracts GCPs with feature detection operators The final step is the template matching This paper suggested equalizing the GCPs either during the feature detecting or after the template matching At the end of the paper, experiments proved the effectiveness in accuracy improvement with the proposed methods