基于小波和改进型Hausdorff距离的遥感图像配准方法

A Remote Sensing Image Registration Method Based on Wavelet Decomposition and the Improved Hausdorff Distance

近年来,不断发展的遥感技术使传统的遥感图像配准方法显得难以胜任.本文介绍了一种准确、高效的遥感图像配准方法.该方法运用图像信息分层技术、小波多尺度图像分解和Harris角点检测算子进行特征点提取,构建一个特征点金字塔,利用改进型Hausdorff距离作为配准的相似性测度,从而实现遥感图像的配准.

In recent years, the continuing development of remote sensing technology makes the conventional remoting sensing image registration techniques inefficient. An accurate and efficient image registration method for remote sensing images is introduced. The method integrates image hierarchical structure, multi-resolution wavelet decomposition technique and Harris comer detector to create a feature point pyramid. And the improved Hausdorff distance is used as the similarity measure for realizing remote sensing image registration.