Multi-satellite imaging task planning method

Abstract

The invention discloses a multi-satellite imaging task planning method, which comprises the following steps of: establishing a task model, and representing all point target tasks by using the task model; taking the orbital circles as a reference, taking tasks in the orbital circles as nodes of the clustering graph model, and constructing undirected edges among the nodes in the clustering graph model based on clustering constraint conditions to obtain an imaging task clustering graph model; aggregating the point target tasks meeting the clustering constraint condition into clustering tasks based on a heuristic rule, and calculating side swing angles of the clustering tasks based on a median theorem; constructing and utilizing constraint conditions and an objective function of task planningto construct a task planning directed acyclic graph model corresponding to the imaging task clustering graph model; and based on the task planning directed acyclic graph model, performing task planning by adopting a maximum and minimum ant colony algorithm to obtain a multi-satellite imaging task planning scheme. Under different data scales, a satisfactory task planning result can be obtained, andthe method has good stability.

Description

technical field [0001] The invention relates to the field of imaging satellite task planning, in particular to a multi-satellite imaging task planning method. Background technique [0002] Imaging satellites are platforms equipped with imaging instruments, flying around the earth in a specific orbit, and imaging and taking pictures of ground targets according to user needs; they have the characteristics of long continuous imaging time, wide coverage, and no national boundaries, etc., and are widely used in surveying and mapping , military reconnaissance, environmental protection and land census and other fields have been highly valued by countries all over the world. The increase in user imaging requirements leads to the fact that imaging observations can only be arranged for a subset of the mission set in the mission planning cycle, and it is impossible to meet more user needs as much as possible. In order to solve the problem of short supply of imaging satellites, more sa...

AI Technical Summary

Problems solved by technology

Due to the increase in user imaging requirements, imaging observations can only be arranged for a subset of the mission set in the mission planning cycle, and it is impossible to meet more user needs as much as possible

In order to solve the problem of short supply of imaging satellites, more satellites have been launched for earth observation, but scarce imaging satellite resources are still extremely precious in the face of a large number of user imaging needs

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