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Chair:
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| Bio: Sinong Quan is currently an Associate Professor with the College of Electronic Science and Technology, National University of Defense Technology. He has authored more than 60 papers in peer-reviewed journals, co-authored 3 books, and holds more than 10 patents, among many conference papers. He has won 3 provincial and ministerial scientific and technological progress awards. Prof. Quan currently serves as a Reviewer for the ISPRS JPRS, IEEE TIP, IEEE TCSVT, IEEE TGRS, and several other international journals in the image processing and remote sensing field. |
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Introduction: In an era defined by global environmental challenges and the need for persistent security, Synthetic Aperture Radar (SAR) and its advanced form, Polarimetric SAR (PolSAR) , have become indispensable tools for Earth Observation. However, the raw data captured by these sensors is not inherently interpretable by the human eye. This is where SAR and PolSAR image processing becomes critically important. SAR and PolSAR image processing is not merely a technical step; it is the fundamental process that unlocks the full potential of radar remote sensing. By transforming raw signals into clean, interpretable, and information-rich image data, it empowers scientists, policymakers, and industries to monitor our planet, manage its resources, and respond to crises with unprecedented reliability and insight. |
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