用SOURCE立方体卫星进行流星观测——开发一个模拟来测试星上流星探测算法

Marcel Liegibel, Jona Petri, Philipp Hoffmann, Niklas Geier, S. Klinkner
{"title":"用SOURCE立方体卫星进行流星观测——开发一个模拟来测试星上流星探测算法","authors":"Marcel Liegibel, Jona Petri, Philipp Hoffmann, Niklas Geier, S. Klinkner","doi":"10.5821/conference-9788419184405.034","DOIUrl":null,"url":null,"abstract":"The scientific mission objectives of the Stuttgart Operated University Research CubeSat for Evaluation and Education are meteor observation, measurement of the lower Earth's atmosphere during re-entry as well as technology demonstrations. The meteor observation is done by pointing a camera towards Earth and continuously taking images during Eclipse. Since it is not possible to downlink all images, an on-board detection algorithm is necessary and mission critical. Therefore, this algorithm needs to be tested thoroughly. Realistic test data showing meteors from orbit is needed to properly develop and test the algorithm. Existing videos, provided by the Planetary Exploration Research Center, captured from the ISS are used as a baseline but are not sufficient to test the algorithm. The videos do not have the diversity of meteors needed and the meteor properties are not settable which makes it difficult to test the detection algorithm in as many scenarios as possible. Therefore, an artificial meteor program was developed to simulate meteors with given properties as perceived from a meteor observation system in a low Earth orbit. Here, we present the details of the artificial meteor program, its working principle and how we tested an algorithm for meteor detection. The user can choose between different background videos, the existing ISS videos from PERC or the self-generated videos. Each different background is used to test a different aspect of the meteor detection algorithm. The ISS videos from PERC provide more diverse backgrounds than the self-generated videos with e.g., clouds and lightning. For these self-generated videos, a program is developed to take image sections of NASA’s Black Marble and putting them frame by frame together into a video. These videos are more suitable for simulating satellite rotation and camera properties. Independent of the background video, settable meteor properties contain important characteristics of a meteor like the light curve, brightness, speed, direction and shape. Additionally, the user can choose the meteor position in the video frame, in which frame it appears and which distance it covers. Furthermore, distortion settings can be applied which contain airplanes with adjustable parameters and scalable noise. Only a properly working meteor detection algorithm leads to a success of a mission critical part of the SOURCE CubeSat. Therefore, the development of this artificial meteor generation program is crucial. Furthermore, this technology demonstration of developing and especially testing a meteor detection algorithm will enable future space-based missions for meteor observations","PeriodicalId":340665,"journal":{"name":"4th Symposium on Space Educational Activities","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Meteor observation with the SOURCE CubeSat – Developing a simulation to test on-board meteor detection algorithms\",\"authors\":\"Marcel Liegibel, Jona Petri, Philipp Hoffmann, Niklas Geier, S. Klinkner\",\"doi\":\"10.5821/conference-9788419184405.034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The scientific mission objectives of the Stuttgart Operated University Research CubeSat for Evaluation and Education are meteor observation, measurement of the lower Earth's atmosphere during re-entry as well as technology demonstrations. The meteor observation is done by pointing a camera towards Earth and continuously taking images during Eclipse. Since it is not possible to downlink all images, an on-board detection algorithm is necessary and mission critical. Therefore, this algorithm needs to be tested thoroughly. Realistic test data showing meteors from orbit is needed to properly develop and test the algorithm. Existing videos, provided by the Planetary Exploration Research Center, captured from the ISS are used as a baseline but are not sufficient to test the algorithm. The videos do not have the diversity of meteors needed and the meteor properties are not settable which makes it difficult to test the detection algorithm in as many scenarios as possible. Therefore, an artificial meteor program was developed to simulate meteors with given properties as perceived from a meteor observation system in a low Earth orbit. Here, we present the details of the artificial meteor program, its working principle and how we tested an algorithm for meteor detection. The user can choose between different background videos, the existing ISS videos from PERC or the self-generated videos. Each different background is used to test a different aspect of the meteor detection algorithm. The ISS videos from PERC provide more diverse backgrounds than the self-generated videos with e.g., clouds and lightning. For these self-generated videos, a program is developed to take image sections of NASA’s Black Marble and putting them frame by frame together into a video. These videos are more suitable for simulating satellite rotation and camera properties. Independent of the background video, settable meteor properties contain important characteristics of a meteor like the light curve, brightness, speed, direction and shape. Additionally, the user can choose the meteor position in the video frame, in which frame it appears and which distance it covers. Furthermore, distortion settings can be applied which contain airplanes with adjustable parameters and scalable noise. Only a properly working meteor detection algorithm leads to a success of a mission critical part of the SOURCE CubeSat. Therefore, the development of this artificial meteor generation program is crucial. Furthermore, this technology demonstration of developing and especially testing a meteor detection algorithm will enable future space-based missions for meteor observations\",\"PeriodicalId\":340665,\"journal\":{\"name\":\"4th Symposium on Space Educational Activities\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"4th Symposium on Space Educational Activities\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5821/conference-9788419184405.034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th Symposium on Space Educational Activities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5821/conference-9788419184405.034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

斯图加特运营大学评估和教育研究立方体卫星的科学任务目标是流星观测、再入大气层时的低地球大气层测量以及技术演示。流星观测是通过将相机对准地球并在日食期间连续拍摄图像来完成的。由于不可能下行所有图像,因此机载检测算法是必要的,也是关键任务。因此,该算法需要进行彻底的测试。为了正确地开发和测试该算法,需要显示来自轨道的流星的真实测试数据。由行星探索研究中心提供的从国际空间站拍摄的现有视频被用作基线,但不足以测试该算法。视频没有所需的流星多样性,流星属性也无法设置,这使得在尽可能多的场景下测试检测算法变得困难。因此,开发了一个人造流星程序来模拟从近地轨道流星观测系统中感知到的具有给定特性的流星。在这里,我们介绍了人工流星程序的细节,它的工作原理以及我们如何测试流星探测算法。用户可以选择不同的背景视频,来自PERC的现有ISS视频或自己生成的视频。每个不同的背景都被用来测试流星探测算法的不同方面。来自PERC的ISS视频提供了比自生成视频(例如云和闪电)更多样化的背景。对于这些自生成的视频,开发了一个程序来拍摄美国宇航局黑色大理石的图像部分,并将它们逐帧组合成视频。这些视频更适合模拟卫星旋转和相机属性。独立于背景视频,可设置的流星属性包含流星的重要特征,如光曲线,亮度,速度,方向和形状。此外,用户还可以选择流星在视频帧中的位置,在哪个帧中出现以及覆盖的距离。此外,失真设置可以应用于包含可调参数和可扩展噪声的飞机。只有正确工作的流星探测算法才能成功完成SOURCE立方体卫星关键部分的任务。因此,开发这种人工流星生成程序至关重要。此外,这项开发和测试流星探测算法的技术演示将使未来的天基流星观测任务成为可能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meteor observation with the SOURCE CubeSat – Developing a simulation to test on-board meteor detection algorithms
The scientific mission objectives of the Stuttgart Operated University Research CubeSat for Evaluation and Education are meteor observation, measurement of the lower Earth's atmosphere during re-entry as well as technology demonstrations. The meteor observation is done by pointing a camera towards Earth and continuously taking images during Eclipse. Since it is not possible to downlink all images, an on-board detection algorithm is necessary and mission critical. Therefore, this algorithm needs to be tested thoroughly. Realistic test data showing meteors from orbit is needed to properly develop and test the algorithm. Existing videos, provided by the Planetary Exploration Research Center, captured from the ISS are used as a baseline but are not sufficient to test the algorithm. The videos do not have the diversity of meteors needed and the meteor properties are not settable which makes it difficult to test the detection algorithm in as many scenarios as possible. Therefore, an artificial meteor program was developed to simulate meteors with given properties as perceived from a meteor observation system in a low Earth orbit. Here, we present the details of the artificial meteor program, its working principle and how we tested an algorithm for meteor detection. The user can choose between different background videos, the existing ISS videos from PERC or the self-generated videos. Each different background is used to test a different aspect of the meteor detection algorithm. The ISS videos from PERC provide more diverse backgrounds than the self-generated videos with e.g., clouds and lightning. For these self-generated videos, a program is developed to take image sections of NASA’s Black Marble and putting them frame by frame together into a video. These videos are more suitable for simulating satellite rotation and camera properties. Independent of the background video, settable meteor properties contain important characteristics of a meteor like the light curve, brightness, speed, direction and shape. Additionally, the user can choose the meteor position in the video frame, in which frame it appears and which distance it covers. Furthermore, distortion settings can be applied which contain airplanes with adjustable parameters and scalable noise. Only a properly working meteor detection algorithm leads to a success of a mission critical part of the SOURCE CubeSat. Therefore, the development of this artificial meteor generation program is crucial. Furthermore, this technology demonstration of developing and especially testing a meteor detection algorithm will enable future space-based missions for meteor observations
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信