Advanced Super-resolution Methods in 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: closed (30 June 2023) | Viewed by 45069
Special Issue Editors
2. Department of Mathematics, University of California, Los Angeles, CA 90095, USA
Interests: data science; remote sensing; image processing; inverse problems; optimization; computational methods
Special Issues, Collections and Topics in MDPI journals
Interests: mathematical image processing; compressive sensing; inverse problems; optimization; high-dimensional signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-resolution hyperspectral data in remote sensing play a crucial role in many fields, such as land surveying and weather prediction. Super-resolution image reconstruction, rooted in modeling and algorithmic advances, has attracted a large amount of research interest. The high dimensionality of hyperspectral data and various types of degradations in image generation and acquisition raise a sequence of challenges on several aspects, including excessive unknown noise and blurring artifacts. Recent advances in machine learning have achieved tremendous improvements on reconstruction accuracy. This issue aims to showcase some of the most advanced super-resolution imaging methods, including physical and computational techniques. It will serve as a platform to facilitate interdisciplinary research and inspire innovative ideas and perspectives. Authors are encouraged to submit high-quality, original research papers on remote-sensing image super-resolution. Topics of interest include but are not limited to the following:
- Spatial super-resolution;
- Temporal resolution enhancement;
- Spatiotemporal super-resolution;
- Spectral super-resolution;
- Radiometric super-resolution;
- Single-frame and multi-frame resolution enhancement;
- Super-resolution from geometrically deformed remote-sensing images;
- Pansharpening of remote-sensing images;
- Fusion of multi-instrument data for enhancing its resolution.
Dr. Igor Yanovsky
Dr. Jing Qin
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
- super-resolution
- satellite images
- spatial resolution
- temporal resolution
- spectral resolution
- radiometric resolution
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