معرفی
Maurizio Di Bisceglie is an Associate Professor at the Department of Engineering (DING) of Università degli Studi del Sannio, Italy. He is an expert in signal processing for remote sensing applications, particularly in GNSS Reflectometry (GNSS-R) and Synthetic Aperture Radar (SAR) systems.
His research focuses on:
- Advanced CFAR detection algorithms for extended targets in non-Gaussian clutter
- GNSS-R data analysis for ocean wind speed, altimetry, and inland water monitoring
- Statistical modeling of sea surface scattering and clutter characteristics
- Development of noise reduction and image enhancement techniques in SAR interferograms
- Applications of multi-spectral satellite data for environmental monitoring
His recent publications show a trend toward spaceborne GNSS-R applications for coastal and flood monitoring, with a strong emphasis on machine learning and stochastic modeling. Key journals include IEEE Transactions on Geoscience and Remote Sensing and IEEE International Geoscience and Remote Sensing Symposium proceedings.
He teaches Numerical Signal Processing and Sensors for Earth Observation at the University of Sannio. His work has been published in IEEE and other leading technical journals, with collaborations across Italy and international institutions.
