基于半全局优化的资源三号卫星影像DSM提取方法

ZY-3 DSM Generation Method Based on Semi-global Optimization

提出了一种基于物方半全局优化的资源三号卫星影像数字表面模型(digital surface model,DSM)提取方法,将半全局优化策略和影像金字塔结合,利用上一层金字塔的匹配结果来动态确定下一层每个像点的搜索范围,打破了半全局匹配需要建立匹配代价立方体的局限;以互信息和影像局部结构描述算子(CENSUS)距离加权和作为匹配代价函数,结合可疑区域探测技术,实现了高精度的DSM提取。通过实验对影响DSM精度的因素进行了总结分析。

This paper details a DSM（digital surface model）generation method using ZY-3images based on object semi-global optimization.This method avoids the limitations imposed when building a match cost cube in the standard method.The proposed method combines semi-global optimization and an image pyramid to dynamically determine the search space of every pixel in the next pyramid layer according to the match result of the previous layer.Combining outlier detection technology and using mutual information and CENSUS as cost function,it realizes high-precision DSM generation from ZY3 images.We analyzed the key factors affecting DSM accuracy through experiments.