Dynamic meshing for satellite acquisition of large areas using adaptive multi-agent system

Timothée Jammot (1) , Elsy Kaddoum (2) , Serge Rainjonneau (1) , Mathieu Picard (1) , Marie-Pierre Gleizes (2)

1 IRT Saint Exupéry - Institut de Recherche Technologique
2 IRIT-SMAC - Systèmes Multi-Agents Coopératifs

As part of Earth observation missions, satellites are used to acquire areas on the Earth's surface. Large area coverage missions are large-scale acquisition projects. They require the use of a set of satellites that make several passes over a long acquisition period. Cutting an area of interest into sub-areas called meshes that can be acquired by satellites during their passes is a difficult optimization problem. In this paper, we present the Glimpse system based on adaptive multi-agent systems for the dynamic cutting and positioning of meshes on a grid of elementary sub-areas. The experiments carried out and the comparison with an approach that is part of the operational state of the art show that a decentralised and dynamic approach to solving this problem is adequate.

Mots clés: Satellite planning; adaptive multi-agent system; dynamic meshing; optimization; emergence

Domaines: Système multi-agents [cs.MA]; Intelligence artificielle [cs.AI]; Recherche opérationnelle [math.OC]

Timothée Jammot, Elsy Kaddoum, Serge Rainjonneau, Mathieu Picard, Marie-Pierre Gleizes. Dynamic meshing for satellite acquisition of large areas using adaptive multi-agent system. 11th International Workshop on Planning and Scheduling for Space (IWPSS 2019), Jul 2019, Berkley, United States. ⟨hal-03613755⟩