Autonomy for remote sensing — Experiences from the IPEX CubeSat

J. Doubleday, Steve Ankuo Chien, C. Norton, K. Wagstaff, D. Thompson, J. Bellardo, Craig Francis, Eric Baumgarten
{"title":"Autonomy for remote sensing — Experiences from the IPEX CubeSat","authors":"J. Doubleday, Steve Ankuo Chien, C. Norton, K. Wagstaff, D. Thompson, J. Bellardo, Craig Francis, Eric Baumgarten","doi":"10.1109/IGARSS.2015.7327033","DOIUrl":null,"url":null,"abstract":"The Intelligent Payload Experiment (IPEX) is a CubeSat mission to flight validate technologies for onboard instrument processing and autonomous operations for NASA's Earth Science Technologies Office (ESTO). Specifically IPEX is to demonstrate onboard instrument processing and product generation technologies for the Intelligent Payload Module (IPM) of the proposed Hyperspectral Infra-red Imager (HyspIRI) mission concept. Many proposed future missions, including HyspIRI, are slated to produce enormous volumes of data requiring either significant communication advancements or data reduction techniques. IPEX demonstrates several technologies for onboard data reduction, such as computer vision, image analysis, image processing and in general demonstrates general operations autonomy. We conclude this paper with a number of lessons learned through operations of this technology demonstration mission on a novel platform for NASA.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2015.7327033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

The Intelligent Payload Experiment (IPEX) is a CubeSat mission to flight validate technologies for onboard instrument processing and autonomous operations for NASA's Earth Science Technologies Office (ESTO). Specifically IPEX is to demonstrate onboard instrument processing and product generation technologies for the Intelligent Payload Module (IPM) of the proposed Hyperspectral Infra-red Imager (HyspIRI) mission concept. Many proposed future missions, including HyspIRI, are slated to produce enormous volumes of data requiring either significant communication advancements or data reduction techniques. IPEX demonstrates several technologies for onboard data reduction, such as computer vision, image analysis, image processing and in general demonstrates general operations autonomy. We conclude this paper with a number of lessons learned through operations of this technology demonstration mission on a novel platform for NASA.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
遥感自主性——来自IPEX立方体卫星的经验
智能有效载荷实验(IPEX)是一项CubeSat任务,旨在为NASA地球科学技术办公室(ESTO)验证机载仪器处理和自主操作技术。具体来说,IPEX将演示高光谱红外成像仪(HyspIRI)任务概念的智能有效载荷模块(IPM)的机载仪器处理和产品生成技术。包括HyspIRI在内的许多计划中的未来任务都将产生大量数据,这需要显著的通信进步或数据缩减技术。IPEX展示了机载数据减少的几种技术,如计算机视觉、图像分析、图像处理,并展示了一般操作的自主性。在本文的最后,我们总结了通过在NASA的新平台上执行这项技术演示任务所获得的一些经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interferometric and polarimetric methods to determine SWE, fresh snow depth and the anisotropy of dry snow Usefulness assessment of polarimetric parameters for line extraction from agricultural areas DEM and DHM reconstruction in tropical forests: Tomographic results at P-band with three flight tracks Nationwide ground deformation monitoring by persistent scatterer interferometry MICAP (Microwave imager combined active and passive): A new instrument for Chinese ocean salinity satellite
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1