Cutting-Edge PolSAR Imaging Applications and Techniques
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation Data".
Deadline for manuscript submissions: 25 August 2025 | Viewed by 298
Special Issue Editors
Interests: artificial intelligence; image processing; remote sensing; object detection; object tracking
Interests: artificial intelligence; PolSAR; image processing; PolInSAR; change detection
2. Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing 100029, China
Interests: image processing; artificial intelligence; remote sensing; high performance computing
Special Issues, Collections and Topics in MDPI journals
Interests: SAR target detection and recognition; SAR image registration; PolSAR data interpretation
Special Issues, Collections and Topics in MDPI journals
Interests: InSAR processing and its application; offset tracking; PloSAR data processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous advancement of high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) technology, PolSAR data have been used to perform ongoing Earth observation and analysis in various fields, such as agriculture, forestry, urban monitoring, marine observation, and disaster assessment. Through PolSAR data, researchers can accurately identify crop types, monitor forest health, analyze urban expansion trends, detect ocean surface characteristics, and assess the impact of natural disasters. These applications not only enhance our understanding of the Earth's environment but also provide powerful technical support for resource management, environmental protection, and disaster emergency response.
This Special Issue aims to highlight innovative PolSAR imaging applications and techniques, encompassing a broad range of technical principles and practical applications. It includes topics such as Multitemporal SAR/PolSAR, Change Detection, Target Decomposition, PolInSAR and Land Coverage Classification to facilitate a deeper understanding of the challenges associated with PolSAR image interpretation. Additionally, this Special Issue welcomes the submission of papers related to other aspects of SAR image interpretation, such as target detection and automatic target recognition.
We welcome original research articles, reviews, and case studies whose scope includes, but is not limited to, the following topics:
- Analysis of Multitemporal SAR/PolSAR data.
- Polarimetric Target Decomposition.
- Novel algorithms for change detection and analysis with PolSAR image.
- Land Coverage Mapping and Classification based on remote sensing image.
- Application of Artificial Intelligence Techniques in PolSAR image interpretation.
- Inversion with PolInSAR technology.
Prof. Dr. Dapeng Tao
Dr. Jun Ni
Prof. Dr. Fan Zhang
Prof. Dr. Deliang Xiang
Dr. Sen Du
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
- multitemporal SAR/PolSAR
- polarimetric target decomposition
- change detection
- PolInSAR
- deep learning for PolSAR image
- land coverage mapping and classification
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