Sun illumination compensation value calculation method

Abstract

The invention discloses a sun illumination compensation value calculation method. The method comprises the following steps: obtaining the size, geographic longitude interval, geographic latitude interval, shooting date, shooting moment and shooting position elevation of an optical remote sensing image of a geostationary orbit satellite; calculating the direct radiation intensity and the scatteredradiation intensity of the shooting position of the geostationary orbit satellite optical remote sensing image according to the remote sensing image size, the geographic longitude interval, the geographic latitude interval, the shooting date, the shooting moment and the shooting position elevation; calculating the total solar radiation intensity of the optical remote sensing image of the geostationary orbit satellite according to the direct radiation intensity and the scattered radiation intensity; aiming at the geostationary orbit satellite optical remote sensing images corresponding to different shooting dates, different shooting time and different shooting positions, calculating the difference value between the corresponding solar total irradiation intensities to obtain the solar illumination compensation value between the pixels of each geostationary orbit satellite optical remote sensing image. The method is low in calculation complexity, high in operation speed and easy for engineering realization.

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 rotation period of the earth. It remains relatively stationary with the earth, and has a large imaging width. The advantages of good timeliness and so on. However, due to the Earth's rotation and orbit around the sun, the light intensity at the same location on Earth varies from day to day. In addition, because the earth itself is round, the light intensity of different longitudes and latitudes is different even at the same time, which leads to the brightness of the images taken by the geostationary optical remote sensing satellites on different dates, times and places. The difference is very large, which causes great difficulties in the subsequent processing and application of remote sensing im...

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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