Multi-satellite imaging task planning method

A mission planning and mission technology, applied in the direction of instruments, calculation models, data processing applications, etc., can solve the problem of extremely precious imaging satellite resources, and achieve the effect of optimal mission planning scheme

Active Publication Date: 2019-11-01
CENT SOUTH UNIV +1
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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 s

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Embodiment Construction

[0098] The following is a detailed description of the embodiments of the present invention. This embodiment is carried out based on the technical solution of the present invention, and provides detailed implementation methods and specific operation processes to further explain the technical solution of the present invention.

[0099] The present invention proposes a multi-satellite imaging task planning method, including an imaging task clustering method and a task planning method; imaging task clustering, and transforming the imaging task clustering problem into graph theory group division by constructing an imaging task clustering graph model problem, and design an imaging task clustering algorithm based on heuristic rules, which is responsible for aggregating the point target imaging tasks that can be observed by imaging satellites in the same imaging strip into clustering tasks; task planning, by constructing task planning directed The acyclic graph model transforms the...

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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...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0631
Inventor 龙军钱哲曼陈仕隆韩笑冬徐楠杨凯飞
Owner CENT SOUTH UNIV
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