Research on the optimization method of dynamic partitioning area target for Earth observation satellites

Abstract

Dynamic partitioning target area algorithm is the key step during Earth observation satellite planning and scheduling. In this paper, a method of dynamic partitioning area target was proposed and combined with the optimization greedy algorithm to optimize the partitioning result. This method bases on the satellite remote sensors’ actual side swing ability. In the planning process, the calculation of target area mapping coverage rate is easy and efficient based on the establishment of the Global Grid Reference System. So we can evaluate the partition result by real-time mapping rate feedback to adjust the partitioning approach and ensure to get the optimal result. Paper also design a simulation scenarios contains three satellites and a big target area. The simulation process of the dynamic partitioning area target algorithm is introduced and come to a more ideal simulation results.