Yifei Yin | Speckle noise suppression in SAR images | Research Excellence Award

Dr. Yifei Yin | Speckle noise suppression in SAR images | Research Excellence Award

Beijing Institute of Technology | China 

The research work focuses on the intelligent interpretation of synthetic aperture radar imagery, with particular emphasis on end-to-end understanding of satellite-based SAR data. Core research activities include SAR image pre-processing, Speckle noise suppression in SAR images speckle noise suppression, and robust target detection and recognition under complex imaging conditions. A key scientific contribution lies in addressing the limitations of conventional supervised learning approaches, which typically rely on clean reference images that are rarely available in real-world SAR scenarios. To overcome this challenge, a self-supervised despeckling framework was proposed, enabling effective network training using only intensity SAR images without the need for external ground-truth data. This strategy significantly enhances the practicality and scalability of deep learning methods for operational SAR systems. The research further contributes to improving feature preservation and structural consistency in despeckled images, which directly benefits downstream tasks such as object recognition and scene understanding. In addition, the work actively supports national-level research and development initiatives, fostering collaboration across multidisciplinary teams in remote sensing, signal processing, and artificial intelligence. Overall, these contributions advance the reliability, adaptability, and real-world applicability of intelligent SAR image interpretation, strengthening its role in satellite observation, surveillance, and Earth monitoring applications.

Citation Metrics (Scopus)

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Self-supervised despeckling based solely on SAR intensity images: A general strategy


– ISPRS Journal of Photogrammetry and Remote Sensing, 2026

Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

Prof. Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

S.P.Timoshenko Institute of Mechanics | Ukraine

Dr. Kostyantin Kotenko is an Professor in the Department of Theoretical Mechanics at the Kyiv National University of Construction and Architecture (KNUCA), Ukraine, specialising in building structures and civil engineering systems. He holds the degree of Candidate of Technical Sciences (equivalent to PhD) and has developed extensive expertise in the dynamics of layered, or sandwich, shell structures with inhomogeneous fillers. A graduate of KNUCA, Dr. Kotenko’s academic background is rooted in the theory and design of complex structural systems, and his research focuses on the dynamic response and stability of multi-layered shells subjected to transient, impact, and nonstationary loads. Over his career, he has co-authored numerous influential papers in international journals, exploring dynamic responses of domes, cylindrical and conical shells with inhomogeneous elastic cores. His work has earned recognition for its analytical depth and contribution to advancing the field of structural dynamics. According to his Scopus profile, Dr. Kotenko has authored 10 scientific publications, received approximately 16 citations, and holds an h-index of 1, reflecting his active engagement and growing impact in the global research community. At KNUCA, he teaches theoretical mechanics and structural dynamics, supervises postgraduate research, and contributes to academic development through innovative research on layered shell mechanics. His continuing investigations into the stress–strain behaviour and stability of multi-layered systems have practical applications in modern civil and aerospace engineering. Dr. Kotenko’s scholarly contributions, combined with his dedication to education and applied mechanics, establish him as a prominent specialist in the field of dynamic analysis of layered and composite structural shells.

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