Automatic detection algorithms of oil spill in radar images
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 alg...
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| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
CRC Press,
2019.
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| Subjects: | |
| ISBN: | 9780429629099 0429629095 9780429052965 0429052960 9780429627453 0429627459 9780429625817 0429625812 0367146606 9780367146603 |
| Physical Description: | 1 online resource |
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Table of contents
| LEADER | 10470cam a2200577M 4500 | ||
|---|---|---|---|
| 001 | kn-on1122748380 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 191011s2019 xx o 000 0 eng d | ||
| 040 | |a YDX |b eng |e pn |c YDX |d EBLCP |d TYFRS |d OCLCQ |d OCLCF |d OCLCQ |d NLW |d VHC |d OCLCO |d K6U |d OCL |d OCLCQ |d SFB |d OCLCO |d OCLCL | ||
| 020 | |a 9780429629099 |q (electronic bk.) | ||
| 020 | |a 0429629095 |q (electronic bk.) | ||
| 020 | |a 9780429052965 |q (electronic bk.) | ||
| 020 | |a 0429052960 |q (electronic bk.) | ||
| 020 | |a 9780429627453 |q (electronic bk. ; |q EPUB) | ||
| 020 | |a 0429627459 |q (electronic bk. ; |q EPUB) | ||
| 020 | |a 9780429625817 |q (electronic bk. ; |q Mobipocket) | ||
| 020 | |a 0429625812 |q (electronic bk. ; |q Mobipocket) | ||
| 020 | |z 0367146606 | ||
| 020 | |z 9780367146603 | ||
| 024 | 7 | |a 10.1201/9780429052965. |2 doi | |
| 035 | |a (OCoLC)1122748380 |z (OCoLC)1122919526 |z (OCoLC)1132425306 |z (OCoLC)1275064739 |z (OCoLC)1303488272 | ||
| 100 | 1 | |a Marghany, Maged. | |
| 245 | 1 | 0 | |a Automatic detection algorithms of oil spill in radar images |
| 260 | |a [Place of publication not identified] |b CRC Press, |c 2019. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a 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. | ||
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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, | |
| 505 | 0 | |a 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 | |
| 505 | 0 | |a 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, | |
| 505 | 0 | |a 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? | |
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Oil spills |x Remote sensing. | |
| 650 | 0 | |a Marine pollution |x Remote sensing. | |
| 650 | 0 | |a Synthetic aperture radar. | |
| 650 | 0 | |a Oil spills |x Remote sensing |v Congresses. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |z 0367146606 |z 9780367146603 |w (OCoLC)1110484631 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpADAOSRI1/automatic-detection-algorithms?kpromoter=marc |y Full text |
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