Remote Sensing Image Processing of Meteorological Satellite
YANG Xiao-rui
GE Guang-ying
ZHU Rong-hua
XU Meng-meng
ZHANG Yu-miao
ZHANG Guang-shi
Abstract：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.
Keywords：remote sensing imagewavelet transformimage fusionimage segmentation
Publication Date：2018-01-01
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：9( 18-26 )