Image Formation, Super-Resolution, Deblurring, and Feature Enhancement for Satellite 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: 31 December 2026 | Viewed by 18
Special Issue Editors
Interests: SAR signal processing; optoelectronic collaborative signal processing
Interests: space–time adaptive processing; SAR ground moving target indication (GMTI); air moving target indication (AMTI), spaceborne HRWS-SAR imaging; ISAR imaging; weak target detection and tracking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The recent development of satellite remote sensing has improved our ability to observe and analyze Earth's dynamic systems. High-quality satellite imagery is very important for many applications, such as climate change monitoring, precision agriculture, disaster response, and urban planning. However, even with these advances, the quality of acquired data is often affected by atmospheric disturbances, sensor limitations, and complex relative motion. These factors may introduce noise, blur, and resolution constraints. Therefore, there is still a clear need for robust image formation and feature enhancement techniques.
This Special Issue, ‘Image Formation, Super-Resolution, Deblurring, and Feature Enhancement for Satellite Remote Sensing’, aims to collect recent research that addresses these image degradation problems. The issue will focus on new algorithms and methods that improve image fidelity and feature distinctness, and support the improvement from raw satellite data to clearer and more reliable reconstructed images.
We invite original research articles and comprehensive review papers. Suggested themes include, but are not limited to:
- Deep learning methods for satellite image super-resolution.
- Blind and non-blind deblurring techniques for optical and Synthetic Aperture Radar (SAR) imagery.
- Image enhancement and denoising methods for different satellite data, including optical, multispectral, and Synthetic Aperture Radar (SAR) images.
- Multi-modal, multi-temporal, and cross-sensor data fusion for feature enhancement.
- Efficient image reconstruction methods for on-orbit or near-real-time processing.
- Applications of enhanced satellite data in environmental monitoring and Earth observation.
- Compressive sensing and super-resolution signal processing for spaceborne SAR/ISAR imaging.
- Spaceborne multi-channel radar GMTI/AMTI applications.
- ISAR motion compensation and autofocus for non-cooperative targets in satellite data.
- STAP-based clutter suppression combined with target feature extraction in wide-area surveillance.
Dr. Yesheng Gao
Dr. Penghui Huang
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 250 words) can be sent to the Editorial Office for assessment.
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
- satellite remote sensing
- image super-resolution
- image deblurring
- feature enhancement
- multi-sensor data fusion
- image reconstruction
- motion compensation
- ground/air moving target indication
- spaceborne synthetic/inverse synthetic aperture radar
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