Recent Advances in the Processing of Hyperspectral Images (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 28 November 2025 | Viewed by 567
Special Issue Editors
2. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
Interests: remote sensing image processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: space intelligent remote sensing; multi-mode hyperspectral remote sensing; intelligent application of remote sensing big data
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing imagery processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data analytics; information fusion; robotics; sensor networks; IoT; signal and image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We extend our thanks for all the effort and support received in successfully producing our previous Special Issue: ‘Recent Advances in the Processing of Hyperspectral Images (https://www.mdpi.com/journal/remotesensing/special_issues/RQQO435VOB). Submissions are now open for a new edition of this Special Issue, as detailed below.
Hyperspectral imagery (HSI) has become one of the most important tools for acquiring data to analyze the monitoring and evaluation of resources and the ecological environment. However, due to the limitations of sensors and the complexity of resources in the ecological environment, there are often many mixed pixels in the obtained HSI, which brings great challenges to the mapping of resource ecological environments. Therefore, one of the most significant spectral issues in remote sensing research is how to process mixed pixels for HSI to obtain more accurate resource ecological environment mapping information. Many hyperspectral image processing techniques are developing rapidly to process mixed pixels. In particular, the development of computer technology and calculation techniques such as artificial intelligence, deep learning, and weakly supervised learning has expanded the application and scope of hyperspectral image processing in recent years. However, several challenges still require efficient solutions and novel methodologies. The main goal of this Special Issue is to address advanced topics related to hyperspectral image processing.
- Fusion and resolution enhancement;
- Denoising, restoration, and super-resolution;
- Endmember extraction and unmixing;
- Dimensionality reduction and band selection;
- Classification and segmentation;
- Subpixel mapping;
- Change detection and time-series HSI analysis;
- Artificial intelligence for HSI;
- Deep learning for HSI.
Prof. Dr. Liguo Wang
Prof. Dr. Yanfeng Gu
Dr. Peng Wang
Prof. Dr. Henry Leung
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. 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
- remote sensing image processing
- hyperspectral image
- mixed pixels
- machine learning
- deep learning
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Related Special Issue
- Recent Advances in the Processing of Hyperspectral Images in Remote Sensing (11 articles)
