一种新的特征点均匀化多光谱图像配准方法

New homogenized-feature-based multi-spectral image registration method

针对多光谱图像在各谱段配准时需要兼顾速度与精度的问题,提出了一种新的均匀化特征点的图像配准方法.在保证特征点的平移旋转不变性前提下,利用圆形滤波窗口,根据特征点的空间分布和强度进行自适应均匀化筛选,再利用选取出来的特征点进行描述与匹配.实验表明,筛选得到的特征点有更好的鲁棒性,空间分布更为均匀,该方法在速度和精度上都具有较大的优势.

A study aiming to achieve both the speed and accuracy of feature based multi-spectral image registration process is made. Then a new homogenized feature based image registration method is proposed. The method first uses the DOH operator to detect features, and then a circular filter window is used to adaptively select features based on the spatial distribution and intensity while keeping the features＇ rotation invariance. The selected features are further described and matched. Experiments show that the selected features are more robust and more uniformly distributed and that the method has great advantages in both speed and accuracy.