一种通用的卫星高性能智能处理器

D. Zhou, Yang Liu, Junwang He, Xiaosong Yao, Uongfei Tian, Denghui Hu, Yan Cao
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引用次数: 0

摘要

随着人工智能技术的发展和成熟,越来越多的空间遥感卫星开始采用人工智能技术解决遥感图像的实时处理问题。遥感卫星有效载荷图像处理是一个复杂的系统,涉及过程控制、数据采集、数据传输、数据存储、分析和处理。目前,大多数遥感卫星的图像处理过程大致相同,但对图像处理的要求不同,导致图像处理算法不同,进而对硬件计算能力的要求也不同。提出了一种具有高性能、高可靠性、冗余、支持可配置计算能力、通用性强的通用高性能星载智能处理器设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Universal High Performance Intelligent Processor Of Satellite
With the development and maturity of artificial intelligence technology, more and more space remote sensing satellites begin to use artificial intelligence technology to solve the problem of remote sensing image real-time processing. Payload image processing of remote sensing satellite is a complex system, involving process control, data acquisition, data transmission, data storage, analysis and processing. At present, the image processing process of most remote sensing satellites is roughly the same, but the requirements for image processing are different, resulting in different image processing algorithms, and then the hardware computing power requirements are different. This paper presents a design of universal high-performance space-borne intelligent processor, which has the characteristics of high performance, high reliability and redundancy, supports configurable computing power, and has strong versatility.
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