Recent Advances in Hyperspectral Imaging Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Chemical and Molecular Sciences".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 874
Special Issue Editor
Special Issue Information
Dear Colleagues,
Hyperspectral imaging (HSI) has emerged as a transformative technology in various domains, including remote sensing, medical diagnostics, agriculture, environmental monitoring, and industrial quality control. By capturing detailed spectral information within each pixel in an image, HSI provides unparalleled insights into the composition, structure, and properties of materials, enabling more accurate analyses and decision-making.
This Special Issue aims to showcase recent breakthroughs in HSI technology, highlighting innovations in hardware design, data processing algorithms, and practical applications. Its key topics of interest include, but are not limited to, the following:
- The development of next-generation hyperspectral sensors and imaging systems;
- Advanced calibration and preprocessing techniques;
- Machine learning and deep learning approaches for HSI data analysis;
- The integration of HSI with other imaging modalities (e.g., LiDAR, multispectral imaging);
- Real-time and embedded hyperspectral imaging solutions;
- Emerging applications in fields such as biomedicine, precision agriculture, and environmental science.
This Special Issue will bring together researchers, practitioners, and industry experts to discuss challenges and opportunities in the field, fostering collaboration and the exchange of ideas. Emphasis will be placed on both theoretical advancements and real-world implementations, providing a comprehensive view of the current state and future directions of HSI technology.
We invite the submission of original research papers, reviews, and case studies that explore novel methodologies, address existing limitations, or demonstrate innovative applications for hyperspectral imaging.
Dr. Marco Marcon
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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 (HSI)
- machine learning in HSI
- sensor development
- data processing and analysis
- multimodal imaging
- real-time applications
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