Collaborative observation method for multi-satellite networking based on industry demand

Abstract

The invention discloses a multi-satellite networking collaborative observation method oriented to industry requirements, which comprises the following steps: establishing a diversified demand model ofa typical application theme; establishing the observation capability model of multi-source satellites; The cooperative observation strategy model of multi-source satellites being established. According to the multi-source satellite cooperative observation strategy model, the correlation analysis is carried out between the diversified demand model and the multi-source satellite observation capability model. According to the collaborative observation method of multi-satellite network for industry demand of this patent, the mission analysis and data acquisition capability of remote sensing satellite system in collaborative observation mode are improved.

Description

technical field [0001] The invention relates to the technical field of satellite observation, in particular to a multi-satellite network collaborative observation method oriented to industry requirements. Background technique [0002] The traditional satellite remote sensing task analysis and data acquisition are mainly based on the task analysis and data acquisition of a single satellite and a single payload. The remote sensing tasks of different satellites are isolated from each other, and the remote sensing data acquisition of different payloads are disconnected from each other, which leads to the inability to reflect the satellite remote sensing task analysis. Due to the synergy and complementary advantages of multi-source satellites, the application of remote sensing data cannot give full play to the comprehensive application efficiency of multi-source data. [0003] With the development of aerospace technology, the number of remote sensing satellites in orbit in my cou...

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Problems solved by technology

[0002] The traditional satellite remote sensing task analysis and data acquisition are mainly based on the task analysis and data acquisition of a single satellite and a single payload. The remote sensing tasks of different satellites are isolated from each other, and the remote sensing data acquisition of different payloads are disconnected from each other, which leads to the inability to reflect the satellite remote sensing task analysis. The synergistic and complementary advantages of multi-source satellites make the application of remote sensing data unable to exert the comprehensive application efficiency of multi-source data

[0003] With the development of aerospace technology, the number of remote sensing satellites in orbit in my country is increasing, and the payload is constantly enriched. In response to the increasingly rich business application requirements, the traditional satellite remote sensing with the main characteristics of single satellite, single load and simple coverage characteristic constraints Mission analysis and data acquisition methods are becoming more and more difficult to meet the needs of the development of space-ground integrated earth observation system and the development of diversified remote sensing applications

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