Calculation method of solar illumination compensation value

Abstract

A calculation method for solar illumination compensation value, comprising: obtaining the size, geographic longitude interval, geographic latitude interval, shooting date, shooting time, and shooting location elevation of an optical remote sensing image of a geostationary satellite; according to the remote sensing image size, geographic longitude interval, geographic Latitude interval, shooting date, shooting time and shooting position elevation, calculate the direct radiation intensity and scattered radiation intensity of the shooting position of the optical remote sensing image of the geostationary satellite; according to the direct radiation intensity and scattered radiation intensity, calculate the Total solar irradiance; for the optical remote sensing images of geostationary satellites corresponding to different shooting dates, different shooting times, and shooting positions, calculate the difference between the corresponding total solar irradiance and obtain the optical data of each geostationary satellite. The solar illumination compensation value between each pixel of the remote sensing image. The method has low computational complexity, fast running speed and easy engineering implementation.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for calculating solar illumination compensation values. Background technique [0002] The orbital period of the geostationary optical remote sensing satellite is the same as the earth's rotation period, and it remains relatively stationary with the earth. It has a large imaging width and can continuously observe a large area of ​​designated interest area. Good timeliness and other advantages. However, the intensity of light at the same location on Earth varies from day to day due to the Earth's rotation and orbit around the sun. In addition, because the earth itself is circular, even at the same time, the light intensity at different longitudes and latitudes is different, which leads to differences in the brightness of images taken by geostationary optical remote sensing satellites on different dates, different times, and different locations. There is a big difference, ...

AI Technical Summary

Problems solved by technology

In addition, because the earth itself is circular, even at the same time, the light intensity at different longitudes and latitudes is different, which leads to differences in the brightness of images taken by geostationary optical remote sensing satellites on different dates, different times, and different locations. There is a big difference, which causes great difficulties for the subsequent processing and application of remote sensing images

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