Advancement in Multispectral and Hyperspectral Pansharpening Image Processing
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Image and Video Processing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 1143
Special Issue Editors
Interests: signal processing; deep learning; image processing and enhancement; image restoration; remote sensing; biomedical signal processing
Interests: remote sensing; deep learning; image analysis; biomedical signal processing
Interests: image enhancement; speaker recognition; earth observation; remote sensing; computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the field of remote sensing and geographic information systems (GISs), the availability of high-resolution images is generally desirable, but not always viable. Typically, satellites collect different types of data from multiple sensors, such as RGB images in addition to spectral data. While RGB data are typically high-resolution, the spectral information used for different types of analysis is of a much lower resolution. In this context, data fusion techniques such as image pansharpening have become essential techniques to improve the spatial resolution of images.
The interest of the signal processing research community in this type of image processing has grown significantly in recent years, with an increasing number of papers presenting algorithms, surveys, and datasets for image pansharpening. In particular, deep learning techniques have emerged as the most promising solution for this task. Despite the great increase in the number of works presented in the state of the art, there are still unsolved problems and different horizons to be explored, from the study of the impact of such techniques in real applications to the extension of existing approaches from, for example, multispectral to hyperspectral data.
The Special Issue on “Advancement in Multispectral and Hyperspectral Pansharpening Image Processing” aims to collect the latest advances, methods, and applications in the field of pansharpening. It aims to explore innovative algorithms, machine learning, and deep learning approaches, and their practical implementations that push the boundaries of image fusion technology. Researchers will gain valuable insights into how these techniques can be used to enhance image analysis and improve task-driven data interpretation in various scientific and commercial domains. This collection of papers will not only highlight significant theoretical contributions, but will also showcase real-world applications, demonstrating the transformative potential of pansharpening in modern image processing.
Topics of interest in this Special Issue include, but are not limited to:
- New algorithms for multispectral and/or hyperspectral image pansharpening;
- The collection of new datasets for image pansharpening or related applications;
- The creation of new synthetic datasets for image pansharpening or related applications;
- The real-world applications of pansharpening algorithms (e.g., digital soil mapping);
- The application of pansharpening techniques to other tasks such as image classification, soil feature extraction, and environmental monitoring.
Dr. Simone Zini
Dr. Mirko Paolo Barbato
Dr. Flavio Piccoli
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. Journal of Imaging 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 1800 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
- deep learning
- image fusion
- image sharpening
- pansharpening
- hyperspectral imaging
- multispectral imaging
- remote sensing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
