专栏征稿：光谱图像智能信息检索

来源：电子学报英文

CALL FOR PAPERS

Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging

This special issue is aimed at 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

Guest Editor Details

Dr. Fadi Al-Turjman [Lead Guest Editor]

Professor & Research Center Director

Faculty of Engineering, Near East University Turkey

Dr. Walaa Hamouda [Co-Guest Editor]

Professor, Concordia University, Canada

Dr. Shahid Mumtaz [Co-Guest Editor]

Instituto de Telecomunicações Aveiro, Aveiro, Portugal

Dr. Zhuo Li [Co-Guest Editor]

Professor, Beijing University of Technology, China

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.

公众号：电子学报英文

微信号：CJEjournal

邮    箱：cje@ejournal.org.cn

点击下方“阅读原文”前往本刊官网浏览并下载文章