Fast search-based agile satellite task planning method

Abstract

The invention discloses a fast search-based agile satellite task planning method. The method comprises the following steps of: firstly establishing a target observation queue according to different sorting rules; inserting to-be-observed objects in sequence and dynamically updating a sliding imaging window of each target in the observation queue according to a target insertion position; when all the tasks are inserted, determining a practical imaging window according to a target imaging time length and the sliding imaging windows to ensure that the imaging quality is optimum; and finally comparing planning schemes obtained according to the different task sorting rules and selecting a planning scheme with the optimum imaging quality. The method has the characteristics of being high in imaging quality, simple in time sequence control logic, low in time complexity and high in task arrangement efficiency, and is particularly suitable for the field of agile imaging satellite task planning.

Description

technical field [0001] The invention relates to the field of agile imaging satellite mission planning, in particular to a quick search agile satellite mission planning method. Background technique [0002] With the increasing dependence of human beings on imaging satellites, users' demand for high-quality satellite images is becoming more and more intense, so the resolution of imaging satellites is constantly improving. But for agile satellites, high resolution does not necessarily mean that high-quality photos can be taken. Although the flexibility and freedom of agile imaging satellites are greatly improved compared with traditional satellites, the imaging quality has obvious time dependence. The closer the imaging time is to the central time point of the observation time window, the higher the imaging quality will be, and the farther away from the central time point, the worse the imaging quality will be. [0003] There are relatively few domestic studies on the optimiz...

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Problems solved by technology

[0003] There are relatively few domestic studies on the optimization of agile satellite observation time windows. Most of them simply adjust the time window according to the priority of tasks to ensure the most basic task scheduling. Although the maneuverability of agile satellites has been improved, it has ignored User concerns such as imaging quality and optimization of calculation time for sliding time windows

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