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Remote sensing satellite earth observation task planning method and device based on genetic algorithm

A technology for mission planning and remote sensing satellites, applied in the fields of genetic law, calculation, genetic model, etc., can solve the problems of satellite resource utilization rate and low task completion rate, so as to improve satellite resource utilization rate and observation task completion rate, reduce operation time, the effect of ensuring population diversity

Active Publication Date: 2021-08-27
HEFEI UNIV OF TECH
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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a remote sensing satellite earth observation task planning method and device based on genetic algorithm, which solves the technical problems of low utilization rate of satellite resources and low task completion rate

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  • Remote sensing satellite earth observation task planning method and device based on genetic algorithm
  • Remote sensing satellite earth observation task planning method and device based on genetic algorithm
  • Remote sensing satellite earth observation task planning method and device based on genetic algorithm

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Embodiment

[0092] First aspect, such as Figure 1~4 As shown, the embodiment of the present invention provides a remote sensing satellite earth observation task planning method based on genetic algorithm, including:

[0093] S1. Obtain satellite orbit information and task information to be observed;

[0094] S2. According to the satellite orbit information and the task information to be observed, construct a multi-satellite mission planning model based on time division revenue;

[0095]S3. According to the multi-satellite mission planning model, an improved genetic algorithm is used to obtain an optimal multi-satellite mission planning scheme.

[0096] The improved genetic algorithm in the step S3 specifically includes:

[0097] S100. Initialize the algorithm population according to the problem encoding method;

[0098] S200. Select parent chromosomes participating in the crossover operation according to chromosome selection rules;

[0099] S300. Using an adaptive probability crossov...

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Abstract

The invention provides a remote sensing satellite earth observation task planning method and device based on a genetic algorithm, and relates to the technical field of satellite task planning. From the reality that different observation time windows selected by tasks cause different task observation earnings, the relation between the positions of the observation time windows of the tasks and the actual observation earnings of the tasks is analyzed, and the calculation mode of the actual observation earnings of the tasks is determined according to a time segmentation earnings method; a generation method of an initial population in the improved genetic algorithm is designed, the starting point of algorithm optimization is improved on the premise of ensuring population diversity, and the algorithm operation time is shortened; a self-adaptive crossover probability calculation method and a selective mutation method are designed, effective disturbance is carried out on the population, and the algorithm is prevented from falling into local optimum, so that a high-quality solution of the problem is obtained, and multi-satellite task planning is completed; and the satellite resource utilization rate and the observation task completion rate are greatly improved.

Description

technical field [0001] The invention relates to the technical field of satellite mission planning, in particular to a method and device for remote sensing satellite earth observation mission planning based on a genetic algorithm. Background technique [0002] Earth observation satellite is an imaging resource that uses optical sensors to image ground targets and obtain image information. It has been widely used in resource exploration, disaster early warning, military reconnaissance and other fields. In recent years, the number of missions to be observed on the ground has continued to increase, and the demand for mission observations has continued to increase. However, satellite resources are limited, and efficient mission planning methods are needed to complete multi-satellite mission planning. [0003] The imaging of ground targets by earth observation satellites needs to meet various constraints such as attitude conversion time and time window. In the reality that the mis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/12
CPCG06Q10/06315G06N3/126
Inventor 靳鹏唐晓茜胡笑旋罗贺王国强马华伟夏维张歆悦
Owner HEFEI UNIV OF TECH
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