Model-Driven, Data-Driven and Symmetry Methods in Hyperspectral Image Processing

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 156

Special Issue Editors

Dr. Yong Chen
E-Mail Website
Guest Editor
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China
Interests: hyperspectral image processing; computer vision; machine learning
Dr. Yu-Bang Zheng
E-Mail Website
Guest Editor
School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China
Interests: tensor modeling and computing; tensor learning; hyperspectral image processing

Special Issue Information

Dear Colleagues,

Image and spectra are the two essential bases that people use to recognize and distinguish between objects in the real world. Images provide a basis to solve geometric problems related to geographical objects, and spectra reflect the unique physical properties of these geographical objects. Hyperspectral images (HSIs) play an increasingly important role in various fields, such as remote sensing, object detection, and medical examination. In recent years, model-driven, data-driven, and symmetry technologies have attracted much attention with regard to the field of HSI processing. This Special Issue aims to discuss new model-driven, data-driven, and symmetry methods that can solve problems related to HSI processing. By launching this Special Issue, we hope to promote the development of corresponding models and algorithms. Therefore, researchers who work in areas related to these research fields are encouraged to contribute papers for publication in this Special Issue.

Dr. Yong Chen
Dr. Yu-Bang Zheng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Symmetry 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.


  • remote sensing
  • multispectral/hyperspectral image processing
  • restoration, reconstruction, and fusion
  • saliency detection and anomaly detection
  • application in remote sensing
  • optimization modeling
  • machine learning and deep learning
  • symmetry

Published Papers

This special issue is now open for submission.
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