一种考虑云层影响的遥感影像波段配准方案

Band Registration Scheme for Remote Sensing Image Considering the Influence of Cloud

对高光谱遥感影像中运动云层对波段配准的影响进行了分析,结合灰度拉伸和形态学空间运算提出了一种新的在影像有云条件下高光谱影像多波段配准算法。结合算法设计了较为稳定的多波段配准方案;利用Python编程开发实现了原型系统,并将原型系统在珠海一号高光谱卫星数据上进行了实验。结果表明,系统具有良好的效果。

In this paper,we analyzed the influence of moving cloud on band registration in hyperspectral images.And then,we proposed a new multi-band registration algorithm for hyperspectral image considering cloud condition,which combining grayscale stretching and morphological spatial operation.On the basis of this,we designed a stable multi-band registration scheme,and developed a prototype system by Python programming.The prototype system was tested on the data of OHS-1 hyperspectral satellite,and good results were achieved.