A multi-satellite imaging mission planning method

Abstract

The invention discloses a multi-satellite imaging mission planning method, comprising: establishing a mission model, using the mission model to represent all point target missions; taking the orbit circle as a benchmark, and taking the tasks in the orbit circle as the cluster diagram model Nodes, and based on the clustering constraints, the undirected edges between the nodes in the clustering graph model are constructed to obtain the imaging task clustering graph model; based on the heuristic rules, the point target tasks that meet the clustering constraints are aggregated into clustering tasks , and calculate the roll angle of the clustering task based on the median theorem; construct and use the constraints and objective functions of the task planning to construct a directed acyclic graph model of the task planning corresponding to the clustering graph model of the imaging task; based on the task Plan the directed acyclic graph model, and use the max-min ant colony algorithm for mission planning, and get the multi-satellite imaging mission planning scheme. Under different data scales, the present invention can obtain satisfactory mission planning results and 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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