Synthetic aperture radar image processing algorithms for nonlinear oceanic turbulence and front modeling /

Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field.

Bibliographic Details
Main Author: Marghany, Maged (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam ; Cambridge, MA : Elsevier, [2024]
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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245 1 0 |a Synthetic aperture radar image processing algorithms for nonlinear oceanic turbulence and front modeling /  |c Maged Marghany. 
264 1 |a Amsterdam ;  |a Cambridge, MA :  |b Elsevier,  |c [2024] 
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504 |a Includes bibliographical references and index. 
505 0 |a Front Cover -- Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling -- Copyright Page -- Dedication -- Contents -- Preface -- 1 Nonlinearity: fundamental concepts and understanding -- 1.1 What is the magic of nonlinearity? -- 1.2 Nonlinearity and dynamics -- 1.3 Mathematical definition of nonlinearity -- 1.4 Sort of nonlinear functions -- 1.5 Diagnosis of a nonlinear system -- 1.6 Nonlinear differential equations -- 1.7 Nonlinearity singularity: emerging in small scale -- 1.8 Bifurcation and discontinuity 
505 8 |a 1.9 Can nonlinearity criticality: escape from linearity? -- 1.10 Continuity of nonlinearity -- 1.11 Lipschitz continuity -- 1.12 Monotonicity -- References -- 2 Unraveling the mysteries: Ocean turbulence and front dynamics -- 2.1 What is the magic meaning of turbulence? -- 2.2 What is the origin of ocean turbulence? -- 2.3 What is the role of Reynolds number in understanding turbulence mechanisms? -- 2.4 How can laminar flow and turbulent flow be distinguished? -- 2.5 What is the nature of turbulence? -- 2.6 Boundary layers in turbulence -- 2.7 Turbulence equation of motion 
505 8 |a 2.8 Navier-Stokes equations and the turbulent shear stress equation -- 2.9 Reynolds-averaged Navier-Stokes equations -- 2.10 Boussinesq approximation (Buoyancy) -- 2.11 Turbulence closure problem and eddy viscosity -- 2.12 Mixing length model -- 2.13 Spectra of turbulence -- 2.14 Geostrophic turbulence -- 2.15 How do frontal zones and turbulence primarily interact? -- 2.16 How are frontal zones defined? -- 2.16.1 Conventional definition -- 2.16.2 Dynamical definition -- 2.16.3 Spatial definition -- 2.17 Formation of fronts -- 2.18 How do temperature and salinity accurately describe frontal zones? 
505 8 |a 3.8.2 Quantum symphony: qubit-enhanced photon counting -- 3.8.3 Bolometric elegance: advancing photon counting technologies -- 3.8.4 Whispering amplifiers: cryogenically engineered for minimal noise -- 3.9 Quantum insights into radar quantization -- 3.9.1 Qunatization of radar antenna -- 3.10 Advancements in quantum radar: illumination strategies and radar equation formulation -- 3.11 Synergizing quantum illumination and radar equations through entanglement dynamics -- 3.12 Exploring quantum principles in synthetic aperture radar systems 
588 |a Description based on online resource; title from digital title page (viewed on August 14, 2024). 
520 |a Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. 
650 0 |a Ocean circulation  |x Mathematical models. 
650 0 |a Synthetic aperture radar. 
650 0 |a Turbulence. 
650 0 |a Oceanography  |x Mathematical models. 
650 6 |a Radar à synthèse d'ouverture. 
650 6 |a Turbulence. 
650 6 |a Océanographie  |x Modèles mathématiques. 
650 6 |a Circulation océanique  |x Modèles mathématiques. 
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