Advanced Signal and Image Analysis Techniques for Synthetic Aperture Radar (SAR) Data Processing

Dear Colleagues,

We are pleased to announce our upcoming Special Issue, focused on “Advanced Signal and Image Analysis Techniques for Synthetic Aperture Radar (SAR) Data Processing”. SAR technology has proven to be effective in various domains, including ground feature extraction, motion objective detection, and parameter inversion related to agriculture, forest, and other areas pertinent to environmental resource management due to its reliable all-weather capabilities and provision of high-resolution imagery. This collection will feature contributions from esteemed Editorial Board Members (EBMs) and leading scholars to create a comprehensive platform that highlights the latest advancements, innovative methodologies, and best practices in SAR signal processing and image analysis.

The objective of this Special Issue is to spotlight advancements in research on advanced SAR signal processing and image analysis technologies. We aim to emphasize innovative methodologies and technological advancements that have practical applications. By showcasing the latest advancements in SAR technology, this Special Issue serves as a vital reference for academics, practitioners, and government agencies involved in SAR image analysis, enhancing the literature and offering solutions to contemporary challenges.

This Special Issue welcomes the submission of original research papers and review articles covering a wide range of topics related to advanced SAR signal processing and image analysis. We encourage researchers to contribute their work to this Special Issue, thereby sharing their advancements, methodologies, and practices in the field of SAR technology. These topics include, but are not limited to, the following:

• SAR imaging and quality enhancement;
• Advanced denoising algorithm and its application;
• Motion objective detection;
• Ground feature extraction;
• Ground parameter inversion;
• Machine/deep learning methods for SAR imaging and data processing.

Dr. Songbo Wu
Dr. Guoqiang Shi
Dr. Haiqiang Fu
Dr. Jicheng Wang
Dr. Jiaqi Tian
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. Electronics 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 2400 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.