关键词: LEO卫星, 多星协作, 卫星能量管理, 星载相机

Abstract: With the rapid advancement of LEO satellite technology,LEO satellites equipped with high-resolution,adjustable ca-meras have become essential for complex EOMs.These missions often require multi-satellite collaboration to capture multiple RoI.Unlike traditional single-satellite capture methods,which focus solely on the energy consumption of image capturing multi-satellite collaboration involves frequent camera angle adjustments to ensure complete RoI coverage,leading to significant energy consumption for camera rotations.The allocation of RoI slicing capturing tasks is challenging,as it must balance the energy consumption of both camera rotation and image capturing.This paper addresses the RoI slicing capturing task allocation problem by considering the orbital directions of satellites and the trade-off between energy consumption from camera rotation and capturing.The objective is to achieve full RoI coverage while minimizing the total energy consumption of the capturing tasks.To this end,this paper proposes ERSCTS,an Energy-efficient RoI Slicing Capturing Task Scheduling algorithm tailored for heterogeneous LEO satellites.Through comprehensive comparative experiments with traditional satellite task scheduling algorithms,it demonstrates that the ERSCTS algorithm significantly reduces satellite energy expenditure.Experimental results show that ERSCTS achieves an average energy consumption reduction of 24.5% while ensuring complete RoI coverage.

Key words: Low Earth Orbit satellites, Multi-satellite collaboration, Satellite energy management, Onboard camera