Nonlinear Ocean Dynamics: Synthetic Aperture Radar delivers the critical tools needed to understand the latest technology surrounding the radar imaging of nonlinear waves, particularly microwave radar, as a main source to understand, analyze and apply concepts in the field of ocean dynamic surface. Filling the gap between modern physics quantum theory and applications of radar imaging of ocean dynamic surface, this reference is packed with technical details associated with the potentiality of synthetic aperture radar (SAR). The book also includes key methods needed to extract the value-added information necessary, such as wave spectra energy, current pattern velocity, internal waves, and more. This book also reveals novel speculation of a shallow coastal front: named as Quantized Marghany's Front.
Rounding out with practical simulations of 4-D wave-current interaction patterns using using radar images, the book brings an effective new source of technology and applications for today's coastal scientists and engineers.
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Table of Contents
1. Nonlinear Ocean Motion Equations: Introduction and Overview2. Quantization of Ocean Dynamics 3. Quantization of Synthetic Aperture and Radar Microwave4. Quantum Mechanism of Nonlinear Ocean Surface Backscattering5. Relativistic Quantum Mechanics of Ocean Surface Dynamic in Synthetic Aperture Radar6. Novel Relativistic Theories of Ocean Wave Nonlinearity Imaginary in Synthetic Aperture Radar7. Quantum Nonlinear Techniques for Retrieving Ocean Wave Spectral from Synthetic Aperture Radar8. Polarimetric Synthetic Radar for Wave Spectra Refraction using Inversion SAR Wave Spectra Model9. Wavelet Transform and Particle Swarm Optimization Algorithm Automatic Detection of Internal Wave from Synthetic Aperture Radar10. Modeling Wave Pattern Cycles using Advanced Interferometry Altimeter Satellite Data11. Multiobjective Genetic Algorithm for Modeling Rossby Wave and Potential Velocity Patterns from Altimeter Satellite Data12. Nonlinear Sea Surface Current Mathematical and Retrieving Models in Synthetic Aperture Radar13. Realtivisitc Quantum of Nonlinear Three-Dimensional Front Signature in Synthetic Aperture Radar Imagery14. Automatic Detection of Nonlinear Turbulent Flow in Synthetic Aperture Radar Using Quantum Multiobjective Algorithm15. Four Dimensional Along-Track Interferometry for Retrieving Sea Surface Wave-Current Interactions
Authors
Maged Marghany Professor, Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia.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.
