SAR Images Processing and Analysis (3rd Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 132
Special Issue Editors
Interests: convolutional neural network; synthetic aperture radar; image classification; polarimetric synthetic aperture radar; deep learning
Interests: intelligent information processing; multi-modal data fusion; target perception
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Synthetic Aperture Radar (SAR) is an indispensable active remote sensing technology with all-day and all-weather Earth observation capabilities, playing a pivotal role in both military and civilian fields such as target reconnaissance, environmental monitoring and geological exploration. However, SAR image processing and analysis face inherent challenges: coherent speckle noise degrades image quality, while limited annotated datasets and poor open-source ecosystems restrict algorithm innovation. Additionally, traditional methods suffer from high annotation dependence, weak generalization and inadaptability to complex scenarios. Addressing these issues is critical to unlocking SAR’s full potential in intelligent interpretation.
We are pleased to invite you to showcase cutting-edge advancements in SAR image processing and analysis, bridging gaps between theoretical innovation and practical application. Aligned with Remote Sensing’s scope—covering signal processing, data interpretation and remote sensing applications—it will integrate interdisciplinary breakthroughs to advance the field’s technological maturity and ecological construction.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: self-supervised learning for SAR noise suppression; foundation models for target recognition; small-sample/class-imbalanced SAR image classification; multi-modal SAR data fusion; and open datasets/evaluation benchmarks. We welcome original research articles presenting novel algorithms/models, reviews synthesizing domain progress and technical notes on open-source tools or datasets.
Dr. Hongwei Dong
Dr. Lingyu Si
Dr. Tong Gao
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
- SAR image processing
- target recognition
- self-supervised learning
- foundation model
- small-sample learning
- speckle noise suppression
- remote sensing interpretation
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Related Special Issue
- SAR Images Processing and Analysis (2nd Edition) in Remote Sensing (11 articles)
