正在进行的工作:FACSAT-2多光谱卫星图像中云检测的实时机载处理

Javier E. Mendez Gomez, A. Cheng
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引用次数: 0

摘要

有几种光学传感器可以集成到一颗小卫星上,用于远程记录地球上不同的地方。哥伦比亚在其FACSAT-2卫星任务中为这项任务选择了一种中等分辨率的多光谱光学传感器。然而,相关的数据处理模型不允许为最终用户生成有用的产品,因为在FACSAT-2捕获的8波段多光谱图像中,云的存在等现象可能会造成影响。因此,本工作提出了利用负责将有效载荷集成到卫星总线的嵌入式计算机系统提供的处理资源,并启动基于人工智能技术的软件应用开发,建立实时系统对卫星光学传感器记录的数据进行星载处理的可能性。因此,它们可以共同满足在存储和下载过程之前自主估计多光谱图像中云覆盖百分比的需求,同时符合此类系统在时间变量方面的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work-in-Progress: Real-Time On-board Processing for Cloud Detection in FACSAT-2 Multispectral Satellite Imagery
There are several optical sensors available that can be integrated into a small satellite for the remote recording of different places on Earth. Colombia in its FACSAT-2 satellite mission has selected a multispectral optical sensor of medium resolution for this task. However, the associated data processing model does not allow the generation of useful products for end users, given the effects that phenomena such as the presence of clouds could cause in 8-band multispectral images captured by FACSAT-2. Therefore, this work proposes the possibility of establishing a real-time system for on-board processing of the data recorded by the satellite optical sensor, taking advantage of the processing resources offered by the embedded computer system in charge of integrating the payloads to the satellite bus and initiating the development of software applications based on artificial intelligence techniques, so that together they can meet the need for autonomously estimating the percentage of cloud coverage in multispectral images prior to the storage and download process, while complying with the restrictions imposed on this type of systems with respect to the time variable.
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