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

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 125

Special Issue Editors

Department of Land Surveying and Geo-Informatics, Research Institute for Land and Space, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: SAR image processing; advanced SAR denoising method; InSAR; remote sensing; coastal hazards monitoring
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Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: SAR image processing, urban geo-hazards; InSAR; remote sensing; infrastructure monitoring
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The Department of Geomatics Science and Technology, Central South University, Changsha 410083, China
Interests: polarimetric SAR scattering mechanism; dual-station SAR forest mapping; desert penetration mapping; soil moisture inversion
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Key Laboratory of Land Resources Evaluation and Monitoring in Southwest China of Ministry of Education, Sichuan Normal University, Chengdu 610000, China.
Interests: SAR image semantic segmentation; image fusion; deep learning; feature detection

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Guest Editor
Department of Geography, National University of Singapore, Singapore 117570, Singapore
Interests: advanced image processing method; vegetation phenology; climate change

Special Issue Information

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

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Keywords

  • synthetic aperture radar (SAR)
  • signal processing and enhancement
  • image denoising
  • polarimetry SAR image processing
  • image quality improvement
  • dynamic objective detection
  • feature extraction
  • parameter inversion
  • machine/deep learning

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Published Papers

This special issue is now open for submission.
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