Automatic Detection Algorithms Of Oil Spill In Radar Images
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Automatic Detection Algorithms Of Oil Spill In Radar Images
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Author : Maged Marghany
language : en
Publisher: CRC Press
Release Date : 2019-10-08
Automatic Detection Algorithms Of Oil Spill In Radar Images written by Maged Marghany and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Science categories.
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.
Synthetic Aperture Radar Imaging Mechanism For Oil Spills
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Author : Maged Marghany
language : en
Publisher: Gulf Professional Publishing
Release Date : 2019-08-21
Synthetic Aperture Radar Imaging Mechanism For Oil Spills written by Maged Marghany and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-21 with Science categories.
Synthetic Aperture Radar Imaging Mechanism for Oil Spills delivers the critical tool needed to understand the latest technology in radar imaging of oil spills, particularly microwave radar as a main source to understand analysis and applications in the field of marine pollution. Filling the gap between modern physics quantum theory and applications of radar imaging of oil spills, this reference is packed with technical details associated with the potentiality of synthetic aperture radar (SAR) and the key methods used to extract the value-added information necessary, such as location, size, perimeter and chemical details of the oil slick from SAR measurements. Rounding out with practical simulation trajectory movements of oil spills using radar images, this book brings an effective new source of technology and applications for today’s oil and marine pollution engineers. Bridges the gap between theory and application of the techniques involving oil spill monitoring Helps readers understand a new approach to four-dimensional automatic detection Provides advanced knowledge on image processing based on intelligent learning machine algorithms and new techniques for detection, such as quantum and multi-objective algorithms
A Novel Framework For Monitoring Oil Spill From Moving Vessels Using Synthetic Aperture Radar
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Author : Lizwe Wandile Mdakane
language : en
Publisher:
Release Date : 2018
A Novel Framework For Monitoring Oil Spill From Moving Vessels Using Synthetic Aperture Radar written by Lizwe Wandile Mdakane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Microwave detectors categories.
Operational discharges of oil from vessels, whether accidental or deliberate, are a growing concern as the levels of maritime traffic increase. Oil tankers and other kinds of ships are among the suspected offenders of illegal discharges. The international legislation contains minor and well-defined exceptions related to ocean areas (internal waters, marine protected areas, MARPOL aÌ22́Ơ¿3specialaÌ22́Ơ℗+ areas, territorial seas or exclusive economic zones). These areas often determine whether an action is considered legal or not and define the rights and obligations, including law enforcement obligations. Synthetic aperture radar (SAR) is the most used remote sensing tool for monitoring oil pollution over vast ocean areas. SAR is an active microwave RS sensor capable of taking measurements day or night and almost independently from atmospheric conditions. Manual oil spill detection in a SAR image is ordinarily done by a trained human interpreter who visually inspects SAR images for any possible spills. However, manual inspection can be time-consuming, biased, inconsistent and subjective. A faster and more robust alternative is to use automated image processing and machine learning methods. The current automated oil detection methods, however, are still not ideal and there is still a need for improvement. Also, data costs have resulted in limited studies on oil spill detection in African oceans. The launch of several Sentinel missions with SAR sensors has considerably improved coverage and accessibility of data over African oceans. The goal of the study is to develop an automated detection of oil spill discharges from vessels in African seas using the freely available Sentinel SAR data. A novel oil spill detection framework that can detect possible oil spill candidates and remove unwanted detections (i.e., false positives) was proposed. The framework used a novel linear dark spot detection algorithm and an improved oil spill discrimination process. The linear detection process used a segmentation-based algorithm to isolate linear dark spots (potential oil spills) from other features in the image. The process involved a more efficient feature selection and classification process. The proposed linear detection algorithm was evaluated for detection accuracy and compared to other segmentation-based oil spill detection algorithms, including state-of-the-art oil spill detection methods. The results demonstrated the proposed approach to be a more efficient and robust linear dark spot detection method. An improved discrimination process was presented to reduce false detections from a segmentation-based algorithm. The selection of relevant oil spill features depends on many factors which could influence the accuracy of the classification task. Automated features selection methods were thus considered to improve the discrimination process. Using feature selection, the most significant oil spill features with minimum variations were determined. The significant features were used as input vectors to classify oil spill events from moving vessels. An optimised Gradient Boosting Tree Classifier (GBT) was used for the classification task. The proposed novel framework showed promising results for monitoring oil spill from moving vessels using SAR in African oceans on a regular basis. Future work includes adding a confidence measure and alert level estimation. The system will incorporate ancillary information such as the oil spill source and the sensitivity of the polluted area to measure environmental impact.
Advanced Geoscience Remote Sensing
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Author : Maged Marghany
language : en
Publisher: BoD – Books on Demand
Release Date : 2014-06-05
Advanced Geoscience Remote Sensing written by Maged Marghany and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-05 with Technology & Engineering categories.
Nowadays, advanced remote sensing technology plays tremendous roles to build a quantitative and comprehensive understanding of how the Earth system operates. The advanced remote sensing technology is also used widely to monitor and survey the natural disasters and man-made pollution. Besides, telecommunication is considered as precise advanced remote sensing technology tool. Indeed precise usages of remote sensing and telecommunication without a comprehensive understanding of mathematics and physics. This book has three parts (i) microwave remote sensing applications, (ii) nuclear, geophysics and telecommunication; and (iii) environment remote sensing investigations.
Oil Spill Pollution Automatic Detection From Multisar Satellite Data Using Genetic Algorithm
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Author : Maged Marghany
language : en
Publisher:
Release Date : 2014
Oil Spill Pollution Automatic Detection From Multisar Satellite Data Using Genetic Algorithm written by Maged Marghany and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Technology categories.
Oil Spill Pollution Automatic Detection from MultiSAR Satellite Data Using Genetic Algorithm.
Detection Of Oil Spill And Natural Film In The Marine Environment By Spaceborne Synthetic Aperture Radar
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Author : Heidi A. Espedal
language : en
Publisher:
Release Date : 1998
Detection Of Oil Spill And Natural Film In The Marine Environment By Spaceborne Synthetic Aperture Radar written by Heidi A. Espedal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Marine pollution categories.
Oil Spill Detection Identification And Tracing
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Author : Ying Li
language : en
Publisher: Elsevier
Release Date : 2023-10-01
Oil Spill Detection Identification And Tracing written by Ying Li and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-01 with Technology & Engineering categories.
Oil Spill Detection, Identification and Tracing provides readers with currently applicable technical methods, including early warning monitoring of trace oil film in ports, remote sensing monitoring of sea surface oil spills, and source tracing. Beginning with the causes and characteristics of oil spills on water, chapters then evaluate a range of different detection methods, including passive optical remote sensing, active optical remote sensing, marine radar, and GNSS-R. The book then reviews oil spill traceability technology, highlighting the ecological effect of oil spills on oceanic environment, current studies on oil spill fingerprinting, and the application of stable isotope technology in oil spill tracing. The book concludes with three key case studies with real-world scenarios, making it a practical resource for students, researchers and engineers interested in oil spill pollution, environmental science and the marine environment. Includes principles and methods of emerging remote-sensing technologies (e.g., fluorescent remote sensing, marine radar, and GNSS-R to monitor oil spills) Provides a detailed introduction of oil-spill traceability technology, especially the use of stable isotope analysis for oil spill tracing Describes the application of detection, identification and tracing technologies used in marine oil spill research Focuses on prevention and remediation through technological advances
Advanced Algorithms For Mineral And Hydrocarbon Exploration Using Synthetic Aperture Radar
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Author : Maged Marghany
language : en
Publisher: Elsevier
Release Date : 2021-12-02
Advanced Algorithms For Mineral And Hydrocarbon Exploration Using Synthetic Aperture Radar written by Maged Marghany and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Business & Economics categories.
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers. Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration Covers specific problems for exploration professionals and provides applications for solving each problem Includes more than 100 images and figures to help explain the concepts and applications described in the book
Synthetic Aperture Radar Image Processing Algorithms For Nonlinear Oceanic Turbulence And Front Modeling
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Author : Maged Marghany
language : en
Publisher: Elsevier
Release Date : 2024-07-19
Synthetic Aperture Radar Image Processing Algorithms For Nonlinear Oceanic Turbulence And Front Modeling written by Maged Marghany and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Science categories.
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. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for oceanic turbulence and front simulation and modelling. The book includes detailed algorithms to enable readers to better understand and implement the practices covered in their own work and apply QInSAR to their own research.This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modelling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers Details the potential of synthetic aperture radar in imaging ocean surface dynamical features Includes detailed algorithms and methods, allowing readers to develop their own computer algorithms Covers the latest applications of quantum image processing
Handbook Of Oil Spill Science And Technology
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Author : Merv Fingas
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-02
Handbook Of Oil Spill Science And Technology written by Merv Fingas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-02 with Technology & Engineering categories.
Provides a scientific basis for the cleanup and for the assessment of oil spills Enables Non-scientific officers to understand the science they use on a daily basis Multi-disciplinary approach covering fields as diverse as biology, microbiology, chemistry, physics, oceanography and toxicology Covers the science of oil spills from risk analysis to cleanup and through the effects on the environment Includes case studies examining and analyzing spills, such as Tasman Spirit oil spill on the Karachi Coast, and provides lessons to prevent these in the future