基于小波变换的卫星遥感图像融合与分割

Remote Sensing Image Processing of Meteorological Satellite

近年来针对卫星云图的分析成为研究人员进行天气预报及判断大气走势的重要途径.卫星云图本身是包含着众多数据的数据源之一,是探测地表-大气系统的可靠依据.本文利用卫星云图的云层信息和水汽图的水汽信息,采用小波变换的方式对二者图像进行融合处理,使得一幅图像中既包含云层信息也包含水汽信息,并且在融合之后的基础上进行图像分割,实现云层、陆地、海洋的分离,便于下一步对特征提取的研究.

In recent years,the analysis of satellite cloud imagery has become an important way for researchers to predict the weather and judge the trend of the atmosphere.Satellite cloud imagery is one of the data sources that contains numerous data,and it is a reliable basis for detecting the surface-atmosphere system.In this paper, the fusion of the two images was made by using cloud information from the satellite cloud imagery,the water vapor information from the water vapor imagery,and the method of the wavelet transforming.Then could an image contain both cloud layer information and water vapor information.And the image segmentation based on the fusion could achieve the separation of clouds,land,and sea which will be helpful to the next study of feature extraction.