Scheduling Multiple Agile Earth Observation Satellites for Oversubscribed Targets Using Complex Networks Theory

Scheduling a constellation of agile earth observation satellites with preemption

In this paper, we consider a scheduling problem for a set of agile Earth observation satellites for scanning  different parts of the Earth’s surface. We assume that preemption is allowed to prevent repetitive images and develop four different preemption policies. Scheduling is done for the imaging time window and transmission time domain to the Earth stations as well. The value of each picture ...

Planning for Agile Earth Observation Satellites

Agile Earth observation satellites are satellites orbiting Earth with the purpose to gather information of the Earth’s surface by slewing the satellite toward regions of interest. Constraints arise not only from dynamical and kinematic aspects of the satellite and its sensors. Regions of interest change over time and bad weather can conceal important observation targets. This results in a const...

Towards dynamic real-time scheduling for multiple earth observation satellites

Currently, most tasks submitted to earth observation satellites (EOSs) are with deadlines, to satisfy users’ timing requirements. Besides, tasks are normally submitted dynamically, with uncertainties of tasks number and submission times. In this paper, we establish a multi-objective mathematic programming model for dynamic real-time scheduling of EOSs. To improve user’s revenue and resource uti...

Distance Preserving Recombination Operator for Earth Observation Satellites Operations Scheduling

Multi-objective Optimization for Selecting and Scheduling Observations by Agile Earth Observing Satellites

This paper presents a biased random-key genetic algorithm for solving a multi-objective optimization problem concerning the management of agile Earth observing satellites. It addresses the selection and scheduling of a subset of photographs from a set of candidates in order to optimize two objectives: maximizing the total profit, and ensuring fairness among users by minimizing the maximum profi...