惠更斯次波法在遥感图像去云和云影中的应用

针对在遥感图像中有云和云影的区域无法获取信息的情况，提出一种对遥感图像局域增强的新方法，即采用惠更斯次波法寻找遥感图像中有云覆盖的区域和有云阴影的区域，进而采用邻域平均法，将有云覆盖的区域和云阴影区域与大尺寸的平滑卷积核进行卷积得到具有较宽的渐变边缘，再对原图像中有云覆盖的区域和云阴影区域的亮度进行补偿，从而获得原图中被云覆盖的区域和云阴影区域的信息。这种半自动提取地物的方法，对在有云和有云影的遥感图像中提取地物信息具有辅助作用。

Application of Huygens secondary-wave method in eliminating cloud and its shadow for remote sensing image

A method to enhance the local regions in remote sensing images is proposed to meet the case that the information cannot be aquired due to the clouds and their shadows in the regions. The method of Huygens secondary wave is applied to extract the regions with clouds and their shadows in the remote sensing images. The wide ambiguity borders can be got when the convolution is made up of the extracted regions and big-size smoothing convolution core whose size is 19×19 and each element is 1/381. The brightness is compensated in the regions with clouds and their shadows in original remote sensing image. The information of the regions covered by clouds and their shadows is obtained. The semi-automatic method plays an important role in the information extraction from the remote sensing images with clouds and their shadows.