Recent Advances in Synthetic Aperture Radar Imaging and Data Processing

Dear Colleagues,

Synthetic Aperture Radar (SAR) is a pivotal remote sensing technology, providing day-and-night, all-weather imaging capabilities essential for continuous Earth observation. It plays a critical role in diverse fields including disaster monitoring, deforestation tracking, glacier dynamics, urban mapping, and defence and security. Recent years have witnessed transformative advances driven by new satellite constellations, innovative imaging modes, and breakthroughs in data processing algorithms. This rapid evolution underscores the need to consolidate cutting-edge research, address emerging challenges, and explore the expanding frontiers of SAR applications. This Special Issue is dedicated to highlighting these significant scientific and technological strides.

This Special Issue aims to collect high-quality original research and comprehensive review articles that showcase the latest developments in SAR system design, image formation techniques, and advanced data processing methodologies. It seeks to foster discussion on integrating novel algorithms—particularly from artificial intelligence and deep learning—with traditional SAR techniques to enhance remote sensing information extraction and interpretation. This theme aligns perfectly with the journal's scope, which focuses on publishing significant scientific and applied results in remote sensing technology, data analysis, and their innovative applications across environmental and Earth system sciences.

We invite submissions on topics including, but not limited to:

• novel SAR system concepts and missions;
• machine learning/deep learning for SAR image classification, segmentation, and target detection.;
• advanced SAR interferometry (InSAR) and differential InSAR for deformation monitoring;
• polarimetric and tomographic SAR;
• compact and bistatic SAR;
• big SAR data management and cloud processing;

Contributions are welcomed in the form of original research articles, review papers, and technical notes that present novel methodologies, significant case studies, or insightful perspectives on future trends.

Dr. Leping Chen
Guest Editor

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-anonymized 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.