An Intelligent Approach to Dynamic Scheduling System of Earth Observation Satellites

Abstract

With the increased number of earth observation satellites, the process of acquiring high quality solution schedule for multi-satellite, multi-orbit and multi-user is more difficult than before. The multi-objective hierarchical genetic algorithm with preference and dynamic heuristic algorithm are proposed to solve the dynamic scheduling problem of earth observation satellite system. The experimental results performed on some benchmark problems suggest that this proposed approach is effective to the dynamic scheduling system.

Earth observation brain (EOB): an intelligent earth observation system

“…A conservative estimate of the amount of data acquired will reach hundreds of TB per day. The model of traditional satellite remote sensing data acquisition and processing which is data acquisition on-board, data transmission between satellite and ground and receiving, processing and distributing data on the ground processing center cannot meet the application requirements nowadays (Feng et al 2011). Therefore, the task-driven satellite-ground co-processing mechanism, which takes the user's task demand as the core, becomes the development direction of remote sensing image data acquisition and processing.…”