Hyperspectral Image: Research and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 84

Special Issue Editors


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Guest Editor
College of Information Science and Engineering, Hohai University, Nanjing 210098, China
Interests: deep learning; image processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Interests: deep learning; information fusion; image processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The advances in hyperspectral imaging have significantly enhanced our capacity to collect intricate data pertaining to the Earth's surface. Nonetheless, effectively harnessing this wealth of spectral information remains a formidable task. Deep learning has emerged as a promising avenue, fundamentally transforming the classification of hyperspectral images by autonomously discerning complex spectral–spatial patterns. We invite contributions that push the boundaries of current knowledge in this dynamic domain, aiming to unlock fresh perspectives for more precise and impactful applications.

This Special Issue seeks to delve into the latest breakthroughs in leveraging deep learning methodologies for hyperspectral image research and applications. Researchers are urged to submit original research articles, reviews, or surveys. Submissions must uphold rigorous scientific standards, underscore the significance of their findings, and provide transparent experimental validation. We embrace submissions that tackle both theoretical advancements and practical applications.

Prof. Dr. Hongmin Gao
Dr. Mingxiang Yang
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. 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 image
  • deep learning
  • artificial intelligence
  • image processing
  • image classification

Published Papers

This special issue is now open for submission.
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