Progress in Hyperspectral Imaging and Future Prospects

Dear Colleagues,

Hyperspectral imaging technology represents a significant leap in our ability to capture and analyze the electromagnetic spectrum, providing rich, high-dimensional images that encapsulate both the spatial and spectral information of each pixel. This powerful technology has been instrumental in advancing several fields, including material science, remote sensing, environmental monitoring, and medical diagnostics. By offering detailed insights that are invisible to the naked eye, hyperspectral imaging has opened new frontiers in research and application.

Despite its impressive capabilities, hyperspectral imaging also faces ongoing challenges such as resolution enhancement, noise reduction, and efficient data processing. Recent developments, including dispersive, interferometric, computational, and metasurface-driven hyperspectral imaging, have each expanded the technical envelope in unique ways. Yet, these advancements also bring to light new limitations and challenges that require innovative solutions.

This Special Issue aims to showcase the latest advancements in hyperspectral imaging and explore the future landscape of this evolving field. We seek to gather a collection of high-impact papers that not only demonstrate state-of-the-art hyperspectral imaging technologies but also tackle the inherent challenges and propose innovative solutions. This platform will facilitate the exchange of ideas and foster collaborations that could steer the next wave of breakthroughs in hyperspectral imaging.

We invite submissions on topics including, but not limited to, the following:

• Advances in multispectral, hyperspectral, and ultraspectral imaging systems;
• Fourier-transform- and Hadamard-transform-based hyperspectral imaging;
• Hyperspectral computed tomography and snapshot spectral imaging;
• Innovative computational approaches for hyperspectral data processing;
• Metasurface design and applications in hyperspectral imaging;
• Techniques for hyperspectral image super-resolution and denoising;
• Hyperspectral image unmixing, classification, and anomaly detection;
• Applications of hyperspectral imaging in agriculture, biomedicine, defense, geology, and environmental science.

We invite submissions of original research articles, comprehensive review papers, short communications, and perspectives that contribute significantly to the fields of hyperspectral imaging. Contributions should present novel findings, provide critical reviews of existing technologies, or offer insights into future directions.

Dr. Minjie Wan
Dr. Yimian Dai
Dr. Zhuang Zhao
Guest Editors

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. Photonics 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 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.

• multispectral imaging
• hyperspectral imaging
• ultraspectral imaging
• fourier transform hyperspectral imaging
• hyperspectral computed tomography imaging
• hadamard-transform-based hyperspectral imaging
• compressive aperture snapshot spectral imaging
• metasurface design in hyperspectral imaging
• hyperspectral image super-resolution
• hyperspectral image denoising
• hyperspectral image unmixing
• hyperspectral image classification
• hyperspectral anomaly detection