Automatic Detection Algorithms of Oil Spill in Radar Images  book cover
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Automatic Detection Algorithms of Oil Spill in Radar Images




ISBN 9780367146603
Published October 4, 2019 by CRC Press
324 Pages 10 Color & 203 B/W Illustrations

 
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Book Description

Synthetic Aperture Radar Automatic Detection Algorithms (SARADA) for Oil Spills conveys the pivotal tool required to fully comprehend the advanced algorithms in radar monitoring and detection of oil spills, particularly quantum computing and algorithms as a keystone to comprehending theories and algorithms behind radar imaging and detection of marine pollution. Bridging the gap between modern quantum mechanics and computing detection algorithms of oil spills, this book contains precise theories and techniques for automatic identification of oil spills from SAR measurements. Based on modern quantum physics, the book also includes the novel theory on radar imaging mechanism of oil spills.

With the use of precise quantum simulation of trajectory movements of oil spills using a sequence of radar images, this book demonstrates the use of SARADA for contamination by oil spills as a promising novel technique.

Key Features:

  • Introduces basic concepts of a radar remote sensing.
  • Fills a gap in the knowledge base of quantum theory and microwave remote sensing.
  • Discusses the important aspects of oil spill imaging in radar data in relation to the quantum theory.
  • Provides recent developments and progresses of automatic detection algorithms of oil spill from radar data.
  • Presents 2-D oil spill radar data in 4-D images.

Table of Contents

Microwave Remote Sensing based on Maxwell Equations
Maxwell’s Equations
Simple wave Equation Based on Maxwell’s Equations
Solution of Electromagnetic Waves in a Homogenous Dielectric
Electromagnetic Wave Characteristics Based on Maxwell’s Equations
The Poynting Theory
Waves from Localized Sources
Momentum as the Route of  Radiation Pressure
Can Maxwell’s Electrodynamics Formulate in Space and Time?

Quantization of Maxwell’s Equation and Electromagnetic Field
Definitions of Quantization of Electromagnetic Field
Quantum Radiation
The Photoelectric Effect
De Broglie's wavelength
Quantum Electrodynamics
Force Carriers
Maxwell Photon Wave Function
Quantanize of Electromagnetic Waves
Feynman's Perspective of Electromagnetic Waves
Feynman’s Derivation of Maxwell’s Equations
Photon Spins
Do Maxwell's Equation Describe a Single Photon or an Infinite Number of Photons?

Quantum Signals at Microwave Devices
Electromagnetic Wave and Microwave Beam
Photon of Microwave Beams
Concept of Generating Microwave Beams
Josephson junctions for Microwave Photon Generations
Mathematical Description of  Quantum Microwave
Microwave Signal Harmonic Oscillators Using Ladder Operator
Quantum Electromagnetic Signals Propagating along Transmission Lines
Quantum Langevin Equation

Quantum Mechanical of Scattering Cross-Section Theory
Definitions of Scattering
Mathematical Description of Scattering Cross-Section
Why Does Scattering Rely on Spin?
Correlation between the Scattering Cross-section to the Wave Function
Scattering from Roughness Surface
Scattering of Identical Particles
Scattering of Particles with Spin
Scattering of Zero Spin Particles
Resonant Scattering
Dielectric Materials and Electric Polarizability
Atom-Photon Scattering
Quantum Young Scattering

Quantization of Radar Theory
Radio Detecting And Ranging
Echo-location Detecting and Ranging
High-Range-Resolution (HRR) Imaging
Radar Microwave Characteristics
Why Quantum Radar Sensors Are Required?
What Does Mean by Quantum Radar?
What are the Classifications of Quantum Radar?
Classical Radar Equation
Quantum Radar Equation
Radar Scattering Regime
Quantum Theory of Radar System
Quantum Radar Illumination

Theories of Synthetic Aperture Radar
What is Meant by Aperture?
Antenna Aperture
Real and Synthetic Aperture Radar
Radar Resolution
Spatial Resolution
Slant and Ground Range Resolution
Resolution Cell
Ambiguous Range
Range-Rate Measurement (Doppler)
Ambiguity Function  of SAR
SAR Pulse Compression Waveforms
Range Compression
Azimuth Compression
Azimuth Matched Filtering
Speckles
SAR Satellite Sensors
Waves and Frequency Ranges Used by Radar

Novel Relativity Theories of Synthetic Aperture Radar
What is Simple Definition of Relativity?
Relativistic of SAR Doppler
Time Dilation
Length Contraction
Does SAR  Polarization Cause Length Contraction?
SAR Time and Range Relativities
The relativity of Frequency Changing
Invariance of Space-time Interval

Quantization of Oil Spill Imagining in Synthetic Aperture Radar
Quantization of Crude Oil  Chemical Chains
Wave Particle Duality of Oil Spill
Quantum of Oil Spill Electric Conductivity
Bragg Scattering and Dielectric Sea Surface
Impact of Surface Dielectric in SAR Backscatter
Quantization Specular Reflection in SAR Data
Quantum Radar Cross Section of Bragg Scattering of Oil-Covered
Decoherence Imaging Mechanism of Oil Spill

Texture and Quantum Entropy Algorithms for Oil Spill Detection in Synthetic Aperture Radar Images
Textures Based-SAR Backscattering from Oil-covered Water
Texture Algorithms
Structure of the GLCM
Creating Texture Image
Mathematical Description of Co-occurrence Matrix
Can GLCM  Accurately Detect Oil Spill?
Can Quantum Entropy perform better than Entropy for the Automatic Detection of Oil Spill?

Mahalanobis Classifier and Neural Network Algorithms for Oil Spill Detection
Machine Learning Algorithms for Automatic Detection of Oil Spill
Hypotheses
Selected  SAR Data Acquisition
Mahalanobis Algorithm
Oil Spill Detection by Mahalanobis Classifier
Artificial Intelligent for Oil Spill Automatic Detection
Frame Structure of Neural Network for Oil Spill  Automatic Detection
Backpropagation Learning Algorithm for Automatic Detection of Oil Spill
Backpropagation Training Algorithm
Oil Spill Detection by Neural Network Algorithm
Comparison between Mahalanobis Classifier and Neural Networks

Fractal Algorithm for Discrimination between Oil Spill and Look-Alike
Definitions of Fractal
Fractal Dimensions
Estimation of Fractal
Estimation of Hurst Exponent
Fractal Algorithm for  Oil Spill Identification
Otsu Thresholding Algorithm
Examined SAR Satellite Data
Backscatter, Incident Angle and Wind Variation along Suspected Oil Spill Patches
Fractal Map of Oil Spill and Look-alikes
How Far Can Fractal Algorithm Detect Oil Spill?

Quantum Cellular Automata Algorithm for Automatic Detection of Oil Spills and Look-Alikes
Principles of Quantum-dot Cellular Automata
Quantum Cellular Automata Cell Construction
QCA Adder with Five Gates for Automatic Detection of Oil Spill
Cellular automata for Automatic Detection of Oil Spill
Explored SAR Images
Oil Spills in RADARSAT-2 SAR Data
Automatic Detection of Oil Spill by Quantum Cellular Automata
Accuracy of QCA for Automatic Detection of Oil Spill  in SAR Data
Why QCA  is able to Detect Oil Spill Automatically?
Quantum Multiobjective Algorithm for Automatic Detection of Oil Spill Spreading from Full Polarimetric Sar Data
Principles of Fully Polarimetric SAR Images
Quantum Computing
Quantum Machine Learning
Quantum Multiobjective Evolutionary Algorithm (QMEA)
Generation of Qubit Populations
Generation of Oil Spill Population Pattern
Quantum Non-dominate Sort and Elitism (QNSGA-II)
Quantum Pareto Optimal Solution
Automatic Detection of Oil Spill in Full Polarimetric SAR
Applications of QNSGA-II to other Satellite Polarimetric SAR Sensors
Quantum Decoherence Theory and QNSGA-II
Pareto Optimization Role in QNSGA-II
Comparison with Previous Studies

Simulation of Trajectory Movements of Oil Spill in Multisar Satellite Data Using Quantum Hopfield Algorithm
Oil Spill Trajectory Models:  What They Are, How They Are Created, How They Are Used An Oil Spill?
Role of Synthetic Aperture Radar for Tracking Oil Spill Trajectory Movement
Hypotheses and Objectives
Fay ‘s  Algorithm and Trajectory of Oil Spill
Hopfield Neural Network for Retrieving Current Pattern from MultiSAR Data
Quantum Hopfield Algorithm
Quantum Trajectory Search for Oil Spill Movements in MultiSAR Data
Sequences of SAR Data for Oil Spill Trajectory Movements
Trajectory Movements of Oil Spill Using Quantum Hopfield Algorithm
Impact of Current Pattern on Oil Spill Trajectory Movements
How far the Impact of Loop Current on Oil Spill?
Why qHop Algorithm can be used to simulate and track the oil spill trajectory movement?

 

 

 

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Author(s)

Biography

Maged Marghany is currently a professor of remote sensing in the Faculty of Geospatial and Real Estate, Geomatika University College (GUC), Malaysia. He authored Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting, published in 2018. His research focuses on 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 Geoinformatics, and the International Society for Photogrammetry and Remote Sensing (ISPRS).