首站-论文投稿智能助手
典型文献
Mobile Multimedia Computing in Cyber-Physical Surveillance Services Through UAV-Borne Video-SAR:A Taxonomy of Intelligent Data Processing for IoMT-Enabled Radar Sensor Networks
文献摘要:
This study investigates the different aspects of multimedia computing in Video Synthetic Aperture Radar(Video-SAR)as a new mode of radar imaging for real-time remote sensing and surveillance.This research also considers new suggestions in the systematic design,research taxonomy,and future trends of radar data processing.Despite the conventional modes of SAR imaging,Video-SAR can generate video sequences to obtain online monitoring and green surveillance throughout the day and night(regardless of light sources)in all weathers.First,an introduction to Video-SAR is presented.Then,some specific properties of this imaging mode are reviewed.Particularly,this research covers one of the most important aspects of the Video-SAR systems,namely,the systematic design requirements,and also some new types of visual distortions which are different from the distortions,artifacts and noises observed in the conventional imaging radar.In addition,some topics on the general features and high-performance computing of Video-SAR towards radar communications through Unmanned Aerial Vehicle(UAV)platforms,Internet of Multimedia Things(IoMT),Video-SAR data processing issues,and real-world applications are investigated.
文献关键词:
作者姓名:
Mohammad R.Khosravi;Sadegh Samadi
作者机构:
Department of Electrical and Electronics Engineering,Shiraz University of Technology,Shiraz 313-71555,Iran
引用格式:
[1]Mohammad R.Khosravi;Sadegh Samadi-.Mobile Multimedia Computing in Cyber-Physical Surveillance Services Through UAV-Borne Video-SAR:A Taxonomy of Intelligent Data Processing for IoMT-Enabled Radar Sensor Networks)[J].清华大学学报自然科学版(英文版),2022(02):288-302
A类:
weathers
B类:
Mobile,Multimedia,Computing,Cyber,Physical,Surveillance,Services,Through,UAV,Borne,Video,SAR,Taxonomy,Intelligent,Data,Processing,IoMT,Enabled,Radar,Sensor,Networks,This,study,investigates,different,aspects,multimedia,computing,Synthetic,Aperture,new,radar,imaging,real,remote,sensing,surveillance,research,also,considers,suggestions,systematic,design,taxonomy,future,trends,data,processing,Despite,conventional,modes,can,generate,video,sequences,obtain,online,monitoring,green,throughout,day,night,regardless,light,sources,all,First,introduction,presented,Then,some,specific,properties,this,are,reviewed,Particularly,covers,one,most,important,systems,namely,requirements,types,visual,distortions,which,from,artifacts,noises,observed,addition,topics,general,features,high,performance,towards,communications,Unmanned,Aerial,Vehicle,platforms,Internet,Things,issues,world,applications,investigated
AB值:
0.619582
相似文献
Energy Theft Detection in Smart Grids:Taxonomy,Comparative Analysis,Challenges,and Future Research Directions
Mohsin Ahmed;Abid Khan;Mansoor Ahmed;Mouzna Tahir;Gwanggil Jeon;Giancarlo Fortino;Francesco Piccialli-Department of Computer Science,COMSATS University Islamabad,Islamabad 44000,Pakistan;Department of Computer Science,School of Computing,Engineering and Digital Technologies,Teesside University,Tees Valley TS1 3BX,United Kingdom;Innovative Value Institute,Maynooth University,Maynooth W23 F2K8,Ireland;Department of Computer Science,Bahria University,Lahore 54782,Pakistan;School of Electronic Engineering,Xidian University,Xi'an 710071,China;Department of Embedded Systems Engineering,Incheon National University,Incheon 22012,Korea;Department of Informatics,Modeling,Electronics and Systems,University of Calabria,Rende,CS 87036,Italy;Department of Mathematics and Applications"R.Caccioppoli",University of Naples Federico Ⅱ,Napoli 80138,Italy
Efficient Visual Recognition:A Survey on Recent Advances and Brain-inspired Methodologies
Yang Wu;Ding-Heng Wang;Xiao-Tong Lu;Fan Yang;Man Yao;Wei-Sheng Dong;Jian-Bo Shi;Guo-Qi Li-Applied Research Center Laboratory,Tencent Platform and Content Group,Shenzhen 518057,China;School of Automation Science and Engineering,Faculty of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China;School of Artificial Intelligence,Xidian University,Xi'an 710071,China;Division of Information Science,Nara Institute of Science and Technology,Nara 6300192,Japan;Peng Cheng Laboratory,Shenzhen 518000,China;Department of Computer and Information Science,University of Pennsylvania,Philadelphia PA 19104-6389,USA;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100190,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。