Method for realizing multi-satellite combined imaging

Abstract

The invention discloses a method for realizing multi-satellite combined imaging. The method for realizing multi-satellite combined imaging includes the steps that an orbit rendezvous of transiting satellites in a given time quantum is obtained, the orbit rendezvous of the transiting satellites is solved in an optimization method to obtain a relatively optimum imaging scheme, and the imaging scheme is optimized to determine which satellite is adopted and what work mode is adopted by the satellite for imaging in a certain given time quantum. The method for realizing multi-satellite combined imaging combines the satellite orbit computing technology and the artificial intelligence technology, and includes the steps of rapid obtaining of the orbits of the transiting satellites, automatic selection of multi-target optimization algorithms, automatic optimization of an imaging coverage scheme, and the like. The method has the advantages of being high in degree of automation, efficient in algorithm and the like, and can be used for building a unified district observation platform for multi-satellite combined imaging. By means of the method for realizing multi-satellite combined imaging, a user can determine the optimum satellite resource from numerous satellite resources, and the cycle of obtaining satellite remote sensing data for the user is made to be as short as possible.

Description

technical field [0001] The invention relates to the technical field of satellite imaging, in particular to a method for automatically and quickly realizing multi-satellite joint imaging after specifying the imaging start time and imaging area required for satellite observation. Background technique [0002] As an important data source, satellite remote sensing has played an increasingly important role in land and resources surveys, topographic mapping, and urban planning. In the case of specifying the imaging start time and imaging area, how to make full use of numerous satellite resources and obtain the data of the target area in the shortest possible time period is a problem in remote sensing applications. [0003] Countries around the world, including China, have launched a large number of remote sensing satellites. However, due to the large number of satellite orbits, the imaging methods are also complex and diverse. For large target areas, the generation software of rem...

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Problems solved by technology

[0003] Countries around the world, including China, have launched a large number of remote sensing satellites. However, due to the large number of satellite orbits, the imaging methods are also complex and diverse. For large target areas, the generation software of remote sensing satellite imaging solutions is generally only for a single satellite or satellite constellation. The multi-satellite joint imaging scheme is manually compiled, resulting in the inability to comprehensively utilize multiple satellite resources when formulating a satellite imaging scheme

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