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
AuthorsMaged Marghany Professor, Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia. Maged Marghany is currently a Professor at the Department of Informatics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala Darussalam, Banda Aceh, Indonesia. In 2020 he was ranked amongst the top 2 percent of scientists in a global list compiled by the prestigious Stanford University. He is author of 5 titles including: Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting which is published by Routledge Taylor and Francis Group,CRC and Synthetic Aperture Radar Imaging Mechanism for Oil Spills, which is published by Elsevier,
His research specializes in microwave remote sensing and remote sensing for mineralogy detection and mapping. Previously, he worked as a Deputy Director in Research and Development at the Institute of Geospatial Science and Technology and the Department of Remote Sensing, both at Universiti Teknologi Malaysia. Maged has earned many degrees including a post-doctoral in radar remote sensing from the International Institute for Aerospace Survey and Earth Sciences, a PhD in environmental remote sensing from the Universiti Putra Malaysia, a Master of Science in physical oceanography from the University Pertanian Malaysia, general and special diploma of Education and a Bachelor of Science in physical oceanography from the University of Alexandria in Egypt. Maged has published well over 250 papers in international conferences and journals and is active in International Geoinformatic, and the International Society for Photogrammetry and Remote Sensing (ISPRS).