Advanced Hyperspectral Imaging: Techniques, Data Analysis, and Applications
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Color, Multi-spectral, and Hyperspectral Imaging".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 606
Special Issue Editor
Interests: hyperspectral imaging; remote sensing; machine vision; computer vision; statistical machine learning; artificial intelligence
Special Issue Information
Dear Colleagues,
Hyperspectral imaging (HSI) technology has been one of the most effective techniques for the identification of targets from heavily cluttered backgrounds across industrial, agricultural, environmental monitoring, and defence/military sectors. Like other technologies, cutting-edge HSI research has evolved into using deep learning (DL) and artificial intelligence (AI) for enhancing imaging hardware, particularly its snap-shot multispectral form, and hyperspectral imagers; it is also used for data analysis to detect subpixel targets that are embedded in scenes with complicated geographical, vegetation, and textual-rich backgrounds. While conventional techniques such as compressive sensing, data integrity enhancements using multivariate analysis, and target detections through likelihood approaches have been very successful for many practical applications, AI-based methods and their combination with conventional model-based methodologies have emerged, being increasingly successful from the perspective of target detection.
This Special Issue addresses the use of DL and AI for solving real world problems, particularly for long range target detections with a high degree of universality; articles and reviews on this subject are highly welcome. Particular interests include, but are not limited to, the following: multiplex image-acquisition techniques, super-resolutions, supervised or unsupervised target detections, transfer learning, band selections, network optimizations, and self-organized DL. Direct comparisons of the effectiveness of AI versus conventional model-based methodologies are also highly sought.
Dr. Peter Yuen
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- hyperspectral imaging
- remote sensing
- deep learning
- artificial intelligence
- multiplex image-acquisition techniques
- super-resolutions
- supervised or unsupervised target detection
- band selections
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
