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Meteorite Detection and Tracing with Deep Learning on FPGA Platform

机译:FPGA平台深入学习的陨石检测与跟踪

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At present, the strength of space exploration represents the strength of a country. Meteorite exploration is also part of the space field. The traditional meteorite detection and tracking technology are slow and not accurate. With the development of deep learning, computer detection technology becomes more and more accurate and efficient, which makes it possible to improve the accuracy and speed of meteorite detection. In this paper, the deep learning algorithm implemented by FPGA is applied to the meteorite detection, and the popular tracking algorithm is applied to the meteorite tracking, so that the structure of the meteorite detection and tracking system can meet the practical requirements.
机译:目前,太空勘探的力量代表了一个国家的力量。陨石勘探也是空间场的一部分。传统的陨石检测和跟踪技术缓慢而且不准确。随着深度学习的发展,计算机检测技术变得越来越准确,高效,这使得可以提高陨石检测的准确性和速度。在本文中,将FPGA实现的深度学习算法应用于陨石检测,流行的跟踪算法应用于陨石跟踪,使陨石检测和跟踪系统的结构能够满足实际要求。

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