Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling

Distinguished Professor Dr. Maged Marghany, the visionary behind the innovative theory titled "Quantized Marghany’s Front," currently holds the esteemed position of Director at Global Geoinformation in Malaysia. Acknowledged globally for his exceptional contributions, Dr. Marghany achieved recognition by Stanford University, USA, by being listed among the top 2% of scientists for four consecutive years - 2020, 2021, 2022, and 2023. Furthermore, his profound impact is reflected in the recognition of two of his books, which were acknowledged among the best genetic algorithm books of all time. Dr. Marghany's ongoing commitment to excellence continues to shape the landscape of scientific thought and geoinformation expertise. Additionally, Dr. Maged Marghany achieved the remarkable distinction of being ranked first among oil spill scientists in a global list spanning the last 50 years, compiled by the prestigious Universidade Estadual de Feira de Santana in Brazil. His expertise also extended to the role of a prominent visiting professor at Syiah Kuala University in Indonesia. In previous roles, Dr. Marghany directed the Institute of Geospatial Applications at the University of Geomatica College. His educational journey includes a post-doctoral degree in radar remote sensing, a PhD in environmental remote sensing, and a Master of Science in physical oceanography. With over 250 papers and influential books," Dr. Marghany ‘s significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.

1. An Introduction to Oceanic Turbulence and Fronts 2. Structural oceanic Front Associations with Turbulence 3. Conventional Exploration Methods in Physical Oceanography 4. Overview of Remote Sensing for Turbulence and Oceanic Fronts 5. Mechanism of Microwave Remote Sensing in Geological Structure Imaging 6. Turbulence and Oceanic Front structurals observed under the Polarized Microwave Remote Sensing 7. Texture and Quantum Entropy Algorithms for Turbulence and Oceanic Front structural Detections in Synthetic Aperture Radar Images 8. Mahalanobis Classifier and Neural Network Algorithms For Turbulence Structural Detections 9. Fractal Dimension Algorithm for Automatic Detection of Oceanic Front Structurals 10. Quantum Wavelet Transform for Eddy Structural In SAR Images 11. Quantum Cellular Automata Algorithm for Automatic Detection of Upwelling 12. Quantum Multiobjective Algorithm for Vorticity Detection from Synthetic Aperture Radar 13. Quantum Interferometry Radar for Turbulence Chaotic Flow Simulation