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New Image Processing Theories and Methods in Hyperspectral Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 48

Special Issue Editors


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Guest Editor
School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Interests: hyperspectral image processing; classification; target detection
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Interests: hyperspectral image processing; artificial intelligence
Center for Hyperspectral Imaging in Remote Sensing (CHIRS), Information and Technology College Dalian Maritime University, Dalian, China
Interests: hyperspectral image processing; multi-source remote sensing image fusion; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
Interests: hyperspectral image processing; intelligent computation

Special Issue Information

Dear Colleagues,

Hyperspectral remote sensing has witnessed significant advancements in recent decades. With the rapid development of hyperspectral remote sensing imaging techniques, many new hyperspectral remote sensing image processing theories and methods have been proposed. Moreover, rapid advances in hyperspectral remote sensing image processing methods have also promoted the application of associated algorithms and techniques to problems in many related fields, such as denoising, unmixing, classification, change detection, target detection, multi-modal data processing etc.

This Special Issue is addressed to all researchers and professionals working in the field of hyperspectral remote sensing and expects original contributions that describe novelties and innovations in any of the hyperspectral image processing stages.

The Special Issue focuses on hyperspectral remote sensing image processing, but papers showing progress in multispectral, ultraspectral, or other types of remote sensing images are also welcome.

Dr. Yuxiang Zhang
Dr. Meng Xu
Dr. Yulei Wang
Dr. Mingming Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Remote Sensing 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 2700 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

  • rectification, denoising, restoration, and enhancement
  • feature selection and extraction, super-resolution, clustering, unmixing, and image fusion
  • classification, target detection, change detection, segmentation, and scene recognition
  • deep learning algorithms designed for hyperspectral remote sensing image processing
  • application of hyperspectral remote sensing image processing results
  • opportunities and challenges in hyperspectral remote sensing image processing

Published Papers

This special issue is now open for submission.
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