Mitigation of Satellite Micro Vibrations on Remote Sensing Images

Mohamed A. Ali, A. Omer, F. Eltohamy, Mohamed Hanafy
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引用次数: 2

Abstract

Recent advancements in satellite technologies, particularly in satellite image spatial resolution, have increased the importance of paying close attention to satellite vibration control capabilities. Anticipating, and mitigating satellite micro-vibrations caused by onboard internal disturbance sources is considered an impressive engineering challenge in both mechanical and electrical engineering branches, especially for users running highly sensitive optical sensor payloads with high standards of image quality requirements. This paper studies the different types of vibrations like jitter, linear and sinusoidal vibrations that cause many forms of degradations in remote sensing images acquired by satellite cameras in both mechanical and electrical engineering branches. The limitations of each approach are stated. Also, the two main solutions to soften the influence of satellite micro-vibrations on remote sensing image quality are introduced. A plan for overcoming the drawbacks of the mitigation techniques and how to deal with this problem in the future is introduced based on neural network techniques.
卫星微振动对遥感图像的抑制
最近卫星技术的进步,特别是卫星图像空间分辨率的进步,增加了密切关注卫星振动控制能力的重要性。预测和减轻由机载内部干扰源引起的卫星微振动被认为是机械和电气工程领域的一项令人印象深刻的工程挑战,特别是对于运行高灵敏度光学传感器有效载荷并对图像质量有高标准要求的用户。本文研究了不同类型的振动,如抖动、线性振动和正弦振动,这些振动会导致机械和电气工程部门的卫星相机获取的遥感图像的多种形式的退化。说明了每种方法的局限性。同时,介绍了两种缓解卫星微振动对遥感图像质量影响的主要方法。介绍了一种基于神经网络技术的方案,以克服现有缓解技术的缺点,以及今后如何解决这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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