有效载荷(计算)
计算机科学
适应性
功率消耗
遥感
可靠性(半导体)
地球观测
航空航天工程
卫星
实时计算
嵌入式系统
系统工程
功率(物理)
工程类
计算机安全
物理
地质学
生物
量子力学
网络数据包
生态学
作者
Joseph Aymond,Christopher Peterson,Kyle Foerster,Naima Kaabouch
标识
DOI:10.1109/aero.2018.8396608
摘要
Visible light imagery is one of the most common data products of remote sensing satellites and is of particular importance for Earth-based disaster response and management, national defense, and numerous Earth science studies. However, size, mass, and power constraints impose severe limitations on payload designs, especially imaging systems whose fields of view and resolutions are dictated primarily by their physical dimensions. In this paper, the capabilities of multiple platforms are investigated for use in small satellites. Based on power consumption, processing speed, interface adaptability, and reliability in extreme conditions, three platforms were chosen for further investigation: the BeagleBone Black, the Raspberry Pi 1 B+, and the BeagleBoard-xM. This paper focuses primarily on planned development of the Raspberry Pi 1 into a functioning imaging payload system.
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