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
Table of Contents:
  • 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
  • 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
  • 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?
  • 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