Guest Editors
Dr. Fadi Al-Turjman, Dr. Walaa Hamouda, Dr. Shahid and Dr. Zhuo Li
Over the decades, hyperspectral and multispectral imaging has become more prominent and widely used across a wide range of applications such as earth observation, agriculture, health care, and remote sensing. With the potential to appropriately characterize the viewed item, both multispectral and hyperspectral imaging offers increased advantages than standard machine vision imaging techniques. The use of hyperspectral imaging capture and process an image with a larger wavelength. Whereas, the method of multispectral imaging asses an image in three or four colors. However, with the increasing demand for hyperspectral and multispectral imaging, the requirement for more efficient methods of data analysis and information retrieval techniques has become crucial to deal with the emerging volume of hyperspectral imaging data. Intelligent information retrieval is an emerging technique that applies the technique of artificial intelligence to retrieve information from larger databases efficiently. Appropriate use of such techniques significantly increases the system performance and efficiency measures. Converging intelligent information retrieval with hyperspectral and multispectral imaging relatively increases the system efficiency with improved performance. It potentially reduces the complexity of the spatial and temporal data with varying dimensionality constraints. Hence, bringing in more advancements in this regard can potentially enlighten this research sector.
The purpose of the special issue is to make an in-depth exploration of intelligent information retrieval techniques for hyperspectral and multispectral imaging. At the same time, this issue makes an attempt to bring out deeper insights into the technical aspects of intelligent information retrieval in the field of hyperspectral and multispectral imaging. Here the key objective is to intersect these two innovative methodologies and to find disruptive innovations on information retrieval using intelligent techniques such as computer vision, deep learning, machine learning, and natural language processing technologies. The key emphasis will be on information retrieval architecture, methodologies, and conceptual design paradigms. Researchers around the globe are most invited to present their novel and innovative solutions against this background.
List of topics for the special issue include, but not limited to, the following:
● Advances in sparse reduction and dimensionality reduction in hyperspectral and multispectral imaging data using Intelligent information retrieval techniques
● AI-assisted in intelligent retrieval techniques for hyperspectral and multispectral imaging
● Advances in deep learning and computer vision for hyperspectral and multispectral imaging
● Hyperspectral and multispectral data visualization with intelligent information retrieval approaches
● Advances in knowledge management and pattern recognition for efficient management of spatial and temporal data
● New trends in intelligent techniques for data visualization and retrieval of hyperspectral and multispectral imaging
● Intelligence methodologies for optimized data sampling and acquisition of hyperspectral and multispectral imaging
● Advances in knowledge engineering for hyperspectral and multispectral imaging
● New trends in vision-based techniques for hyperspectral and multispectral imaging
● Advanced vision techniques for the internet of drones
Submission Timeline:
Paper Submission Deadline August 05, 2021
Author Notification October 13, 2021
Revised Papers Submission January 15, 2022
Final Acceptance May 30, 2022
Submission Requirements:
1. The paper should belong to the author's scientific research results, the data are true and reliable, have important academic and application value, and has not been published or read in public publications or conferences. Besides, there is no issue of duplicate submission.
2. The paper should include title, abstract, keywords, body text and references, please referring to the recently papers on Chinese Journal of Electronics (it is a blind review and please hide the authors and funding information).
3. Please submit the paper through the official website
http://www.ejournal.org.cn/JournalX_dzxb_en/authorLogOn.action?mag_Id=1
The corresponding author's contact address, telephone number, and E-mail address should be attached to the paper (Please fill in the system when you register the website, and do not put them in the manuscript. Articles will be reviewed anonymously according to the standard of normal submissions).
4. Please note "IIRMHI21+" in the head of the paper title when submitting it.
Guest Editor Details:
Dr. Fadi Al-Turjman [Lead Guest Editor]
Professor & Research Center Director
Faculty of Engineering, Near East University Turkey
Email: fadi.alturjman@neu.edu.tr
Google scholar: https://scholar.google.com/citations?user=5G0uavwAAAAJ&hl=en
Dr. Walaa Hamouda [Co-Guest Editor]
Professor, Concordia University, Canada
Email: hamouda@ece.concordia.ca
Web: https://users.encs.concordia.ca/~hamouda/
Google scholar: https://scholar.google.com/citations?user=ZhF8DpwAAAAJ&hl=en
Dr. Shahid Mumtaz [Co-Guest Editor]
Instituto de Telecomunicações Aveiro, Aveiro, Portugal
Email: smumtaz@av.it.pt
Web: https://sites.google.com/site/shahidmumtaz2012/
Googlescholar: https://scholar.google.com/citations?hl=en&user=rKTo4g0AAAAJ&view_op=list_works&sortby=pubdate
Dr. Zhuo Li [Co-Guest Editor]
Professor, Beijing University of Technology, China
Email: zhuoli@bjut.edu.cn
Web: http://english.bjut.edu.cn/info/1155/1528.htm
Google scholar: https://scholar.google.com/citations?user=ZhF8DpwAAAAJ&hl=en
Guest Editor Biography:
Dr.Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks’ deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editor for several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society (IF 4.7).
Dr.Walaa Hamouda received the M.A.Sc. and Ph.D. degrees in electrical and computer engineering from Queen‘s University, Kingston, ON, Canada, in 1998 and 2002, respectively. Since 2002, he has been with the Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada, where he is currently a Professor. Since 2006, he has been Concordia University Research Chair in communications and networking. His current research interests include single/multiuser multiple-input multiple-output communications, space-time processing, cooperative communications, wireless networks, multiuser communications, cross-layer design, and source and channel coding. He was a recipient of numerous awards, including the best paper awards of the IEEE WCNC?16, ICC 2009, and the IEEE Canada Certificate of Appreciation in 2007 and 2008. He served(ing) as the Co-Chair of the Wireless Communications and Networking conference (WCNC,19) MAC and Cross-layer Design Track, Wireless Communications Symposium of the IEEE ICC?2018, the Co-Chair of the Ad-hoc, Sensor, and Mesh Networking Symposium of the IEEE Globecom conference 2017, the Technical Co-Chair of the Fifth International Conference on Selected Topics in Mobile and Wireless Networking (MoWNet?2016), the Track Co-Chair of the Multiple Antenna and Cooperative Communications and IEEE Vehicular Technology Conference (VTC-Fall?16), the Co-Chair of the ACM Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (ACMPE-WASUN?2014) 2014, the Technical Co-Chair of the Wireless Networks Symposium, 2012 Global Communications Conference, the Ad hoc, Sensor, and Mesh Networking Symposium of the 2010 ICC, and the 25th Queen’s Biennial Symposium on Communications. He also served as the Track Co-Chair of the Radio Access Techniques of the 2006 IEEE VTC Fall 2006 and the Transmission Techniques of the IEEE VTC-Fall 2012. From 2005 to 2008, he was the Chair of the IEEE Montreal Chapter in Communications and Information Theory. He served as an Associate Editor for the IEEE Communications Letters and IET Wireless Sensor Systems and currently serves as an Associate Editor for the IEEE Transactions on Vehicular Technology, the IEEE Transactions on Signal Processing, and the IEEE Communications Surveys and Tutorials, and IEEE Wireless Communications Letters.
Dr.Shahid Mumtaz has more than 10 years of wireless industry experience and is currently working as Senior Research Scientist at Instituto de Telecomunicações Aveiro, Portugal. Prior to his current position, he worked as Research Intern at Ericsson and Huawei Research Labs in 2005 at Karlskrona, Sweden. He received his MSc and Ph.D. degrees in Electrical & Electronic Engineering from Blekinge Institute of Technology (BTH) Karlskrona, Sweden and University of Aveiro, Portugal in 2006 and 2011, respectively. Dr Shahid research interests lie in the field of architectural enhancements to 3GPP networks (i.e., LTE-A user plan & control plan protocol stack, NAS and EPC), 5G NR related technologies, green communications, cognitive radio, cooperative networking, radio resource management, Network slicing, LAA/LTU, cross-layer design, Backhaul/fronthaul, heterogeneous networks, M2M and D2D communication, and baseband digital signal processing. Dr. Shahid has more than 150 publications in international conferences, journal papers, and book chapters. Dr. Mumtaz is a senior member of IEEE. He was awarded an "Alain Bensoussan" fellowship by ERCIM to pursue research in communication networks for one year at the VTT Technical Research Centre of Finland in 2012. He was nominated Chair for IEEE new standardization on P1932.1: Standard for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks. This standardization resulted from Dr. Mumtaz’ novel idea on “WiFi in Licensed band”. He is also actively involved in 3GPP standardization on LTE release 12 onwards, along with major manufacturers. He is ACM Distinguished speaker.
Professor Zhuo Li received her B.E. degree in Radio Technology from the University of Electronic Science and Technology, Chengdu, China, in 1992, M.E. degree in Signal & Information Processing from the Southeast University, Nanjing, in 1998, and Ph.D. degree in Pattern Recognition and Intellectual System from Beijing University of Technology, in 2004. She is currently a professor, with Ph.D. supervision at Beijing University of Technology. During 2006-2007, she spent one-year as a postdoctoral research fellow at the University of Sydney, Australia. Her current research interests include Multimedia Communication, image/video processing and Computer Vision as well. She has taken charge of over 40 research projects and has over 200 publications.
