FPGA-based hardware/firmware co-design for real-time radiometric correction onboard microsatellite

IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Real-Time Image Processing Pub Date : 2024-08-20 DOI:10.1007/s11554-024-01536-3
Youcef Ghelamallah, Azzeddine Rachedi
{"title":"FPGA-based hardware/firmware co-design for real-time radiometric correction onboard microsatellite","authors":"Youcef Ghelamallah, Azzeddine Rachedi","doi":"10.1007/s11554-024-01536-3","DOIUrl":null,"url":null,"abstract":"<p>Remote sensing images are inevitably produced with radiometric artifacts due to the photo-response non-uniformity of charge-coupled device (CCD) sensors. In situations where time constraints demand the prompt acquisition of imaging products, integrating an onboard radiometric correction system becomes essential. This paper advocates for a hardware–firmware co-design approach to achieve radiometric correction within the payload front-end electronics (FEE), leveraging the capabilities of field programmable gate array circuits (FPGA). The selection of an appropriate CCD sensor and optical device is guided by a thorough payload mission analysis, ensuring compliance with the specifications derived from Alsat-1B, the Algerian microsatellite launched in September 2016. Simulation results demonstrate that the designed FPGA firmware effectively controls the CCD sensor and configures its settings to achieve real-time radiometric correction of the acquired pixels in accordance with the mission requirements. To ensure efficient utilization during imaging operations, a hardware solution for onboard storage and in-orbit update of the radiometric coefficients has been considered for the radiometric correction system.</p>","PeriodicalId":51224,"journal":{"name":"Journal of Real-Time Image Processing","volume":"34 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Real-Time Image Processing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11554-024-01536-3","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Remote sensing images are inevitably produced with radiometric artifacts due to the photo-response non-uniformity of charge-coupled device (CCD) sensors. In situations where time constraints demand the prompt acquisition of imaging products, integrating an onboard radiometric correction system becomes essential. This paper advocates for a hardware–firmware co-design approach to achieve radiometric correction within the payload front-end electronics (FEE), leveraging the capabilities of field programmable gate array circuits (FPGA). The selection of an appropriate CCD sensor and optical device is guided by a thorough payload mission analysis, ensuring compliance with the specifications derived from Alsat-1B, the Algerian microsatellite launched in September 2016. Simulation results demonstrate that the designed FPGA firmware effectively controls the CCD sensor and configures its settings to achieve real-time radiometric correction of the acquired pixels in accordance with the mission requirements. To ensure efficient utilization during imaging operations, a hardware solution for onboard storage and in-orbit update of the radiometric coefficients has been considered for the radiometric correction system.

Abstract Image

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
基于 FPGA 的硬件/软件协同设计,用于在微型卫星上进行实时辐射校正
由于电荷耦合器件(CCD)传感器的光反应不均匀性,遥感图像不可避免地会产生辐射伪影。在时间紧迫、需要迅速获取成像产品的情况下,集成一个机载辐射校正系统就变得至关重要。本文主张采用硬件-固件协同设计方法,利用现场可编程门阵列电路(FPGA)的功能,在有效载荷前端电子设备(FEE)内实现辐射校正。在对有效载荷任务进行全面分析的指导下,选择了合适的CCD传感器和光学设备,确保符合2016年9月发射的阿尔及利亚微型卫星Alsat-1B的规格要求。仿真结果表明,所设计的 FPGA 固件可有效控制 CCD 传感器并配置其设置,从而根据任务要求对所获取的像素进行实时辐射校正。为确保成像操作期间的有效利用,考虑为辐射校正系统提供一个用于星载存储和在轨更新辐射系数的硬件解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Real-Time Image Processing
Journal of Real-Time Image Processing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
6.80
自引率
6.70%
发文量
68
审稿时长
6 months
期刊介绍: Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed. Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application. It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system. The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.
期刊最新文献
High-precision real-time autonomous driving target detection based on YOLOv8 GMS-YOLO: an enhanced algorithm for water meter reading recognition in complex environments Fast rough mode decision algorithm and hardware architecture design for AV1 encoder AdaptoMixNet: detection of foreign objects on power transmission lines under severe weather conditions Mfdd: Multi-scale attention fatigue and distracted driving detector based on facial features
×
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