Method for determining day and night distribution in earth's background imaging area of large elliptic satellite

Abstract

The invention discloses a method for determining day and night distribution in an earth's background imaging area of a large elliptic remote sensing satellite. The method comprises the following steps: establishing an earth's core fixed connection coordinate system, a sensor coordinate system and an image coordinate system, and establishing a transformational relation between the image coordinate system and the earth's core fixed connection coordinate system; determining the current moment t, and acquiring the coordinates of the satellite and sun in the earth's core fixed connection coordinate system and sensor parameters at the current moment; judging whether a point on an object plane mapped from a point on an imaging plane is a point on the earth at the current moment, calculating a point of the point on the upper earth, calculating a solar altitude of the point on the earth at the current moment, and judging the day and night conditions of the joint according to the solar altitude; and performing the treatment on all the points in the imaging plane, and judging the day and night conditions of each point on the imaging plane at a corresponding point on the earth. The method is established on the basis of coordinate system transformation and fundamental formulas, a mathematical model is established, and the earth's background day and night distribution conditions in large elliptic satellite remote sensing satellite images can be quantitatively determined.

Description

technical field [0001] The invention belongs to the field of science and technology intersected by computer vision and aerospace technology, and more specifically relates to a method for determining the day and night distribution of a large elliptical satellite earth background imaging area. Background technique [0002] Remote sensing technology has obvious advantages and broad application prospects in disaster monitoring, mineral detection, environmental monitoring and other fields. However, the high cost of remote sensing detection, especially aerospace remote sensing, and the long manufacturing cycle of sensors hinder the continuous development of current remote sensing imaging technology. With the rapid development of computer technology, especially the development of virtual reality technology, remote sensing imaging simulation technology is extremely effective in solving such problems. All objects in nature reflect solar radiation or emit their own thermal radiation....

AI Technical Summary

Problems solved by technology

Therefore, it is very complicated to determine the diurnal distribution of the large elliptical satellite Earth background imaging area

There is no relevant literature at home and abroad mentioning this determination method

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