Studies On The Model Of Stereoscopic Calculation In The Cloud Top Height Based On The FY-2Geostationary Satellite Image

Among the many physical parameters of the cloud, the cloud top height is the basic macroeconomic parameter, accurate access to the cloud top height information is very important to numerical weather prediction, climate modeling studies, atmosphere research, weather modification, aviation and thunderstorm warning, national economy, military and other fields. Currently, the cloud top height and movement speed is mainly inversed through satellite data.Currently, the general way to solve cloud top height is the solution method by using the meteorological satellites’ dimensional image pairs, among which used more is the multi-angle high-resolution satellite images. However, due to the small observation area method, this method is difficult to apply to large cloud’ clouds height solution. Geostationary satellite technology can solve this problem and create the conditions for the realization of joint observation to binary cloud top height.Based on remote sensing technology, photogrammetry theory, measurement adjustment methods, and the geometric relationships of binary joint observation,天the paper focuses on the low-resolution images of Fengyun geostationary meteorological satellites, considering the impact of cloud movement speed, we constructed the geostationary satellite cloud top height and clouds moving speed’s combined solver model, and established its strict solver algorithms. To ensure the feasibility and reliability of the model, we used the digital products on the cloud to test the solver results. The study has an important scientific significance through applying the geostationary satellite data to the weather analysis and numerical weather prediction effectively. The main work is as follows:For the features as the Fengyun geostationary satellite images’ low resolution, the unclear texture, dark grayscale, and the difficulty to match, the paper increased the amount of low-resolution satellite images, enhanced the images’ detail, highlighted the contrast changes by the image enhancement method, which mainly is the piecewise linear enhancement algorithms. It also prepared for the subsequent cloud point matching work of the same name.This paper analyzes the use of correlation coefficients of the same name at the point in the match by using the two-way correlation coefficient matching method, considering the characteristics of low-resolution images.Based on the re-projection technology of photographic survey, remote sensing technology, adjustment theory, the geometric relationships of the satellite, true cloud and projected cloud, and the impact of cloud movement speed in solving cloud top height, the cloud top height conformation equation and the solution model are built established Fengyun geostationary satellites. The solution model established in this paper has good reliability and feasibility, the results has good credibility through inspected by FY-3. The geostationary satellite cloud top height solution method that the paper studied does not rely on the physical characteristics of the cloud. This study provides a new idea and technical solution for solving the cloud geometry by using the low-resolution satellite images.