Maged Marghany – författare

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

Nonlinear Ocean Dynamics: Synthetic Aperture Radar delivers the critical tools needed to understand the latest technology surrounding the radar imaging of nonlinear waves, particularly microwave radar, as a main source to understand, analyze and apply concepts in the field of ocean dynamic surface. Filling the gap between modern physics quantum theory and applications of radar imaging of ocean dynamic surface, this reference is packed with technical details associated with the potentiality of synthetic aperture radar (SAR). The book also includes key methods needed to extract the value-added information necessary, such as wave spectra energy, current pattern velocity, internal waves, and more. This book also reveals novel speculation of a shallow coastal front: named as Quantized Marghany's Front.

Rounding out with practical simulations of 4-D wave-current interaction patterns using using radar images, the book brings an effective new source of technology and applications for today's coastal scientists and engineers.

Solves specific problems surrounding the nonlinearity of ocean surface dynamics in synthetic aperture radar data Helps develop new algorithms for retrieving ocean wave spectra and ocean current movements from synthetic aperture radar Includes over 100 equations that illustrate how to follow examples in the book

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 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.

The innovation in space technologies has generated a new method for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system.

Remote Sensing and Image Processing in Mineralogy reveals the critical tools required to comprehend the latest technology surrounding the remote sensing imaging of mineralogy, oil and gas explorations. It particularly focusses on multispectral, hyperspectral and microwave radar, as the foremost sources to understand, analyze and apply concepts in the field of mineralogy. Filling the gap between modern physics quantum theory and image processing applications of remote sensing imaging of geological features, mineralogy, oil and gas explorations, this reference is packed with technical details associated with the potentiality of multispectral, hyperspectral and synthetic aperture radar (SAR). The book also includes key methods needed to extract the value-added information necessary, such as lineaments, gold and copper minings. This book also reveals novel speculation of quantum spectral mineral signature identifications, named as quantized Marghany’s mineral spectral or Marghany Quantum Spectral Algorithms for Mineral identifications (MQSA).Rounding out with practical simulations of 4-D open-pit mining identification and monitoring using the hologram radar interferometry technique, this book brings an effective new source of technology and applications for today’s minerology and petroleum engineers.Key Features• Helps develop new algorithms for retrieving mineral mining potential zones in remote sensing data.• Solves specific problems surrounding the spectral signature libraries of different minerals in multispectral and hyperspectral data.• Includes over 200 equations that illustrate how to follow examples in the book.

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 modeling. It includes detailed algorithms to enable readers to better understand and implement 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 modeling, 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 featuresIncludes detailed algorithms and methods, allowing readers to develop their own computer algorithmsCovers the latest applications of quantum image processing

The innovation in space technologies has generated a new method for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system.

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.

Remote Sensing and Image Processing in Mineralogy reveals the critical tools required to comprehend the latest technology surrounding the remote sensing imaging of mineralogy, oil and gas explorations. It particularly focusses on multispectral, hyperspectral and microwave radar, as the foremost sources to understand, analyze and apply concepts in the field of mineralogy. Filling the gap between modern physics quantum theory and image processing applications of remote sensing imaging of geological features, mineralogy, oil and gas explorations, this reference is packed with technical details associated with the potentiality of multispectral, hyperspectral and synthetic aperture radar (SAR). The book also includes key methods needed to extract the value-added information necessary, such as lineaments, gold and copper minings. This book also reveals novel speculation of quantum spectral mineral signature identifications, named as quantized Marghany’s mineral spectral or Marghany Quantum Spectral Algorithms for Mineral identifications (MQSA).Rounding out with practical simulations of 4-D open-pit mining identification and monitoring using the hologram radar interferometry technique, this book brings an effective new source of technology and applications for today’s minerology and petroleum engineers.Key Features• Helps develop new algorithms for retrieving mineral mining potential zones in remote sensing data.• Solves specific problems surrounding the spectral signature libraries of different minerals in multispectral and hyperspectral data.• Includes over 200 equations that illustrate how to follow examples in the book.

Injuries due to air turbulence has increased recently, therefore there is considerable concern and interest in understanding and detecting it more accurately. Presently hardly any research deals with air turbulence detection using remote sensing images. Most works use conventional optical remote sensing data with classical methods such as a library spectral signature, band ratio, and principal component analysis without designating new methods and technology. Very little research has attempted to implement optical and microwave remote sensing images for air turbulence detections.This book provides new image processing procedures for air turbulence detection using advanced remote sensing images and quantum image processing. Currently, there is a huge gap between research work in the field of air turbulence detection and advanced remote sensing technology. Most of the theories are not operated in terms of software modules. Most of the software packages in the field of remote sensing images cannot deal with advanced image processing techniques in air turbulence detections due to heavy mathematics work. In this view, this book fills a gap between advanced remote sensing technology and air turbulence detection. For instance, quantum image processing with a new generation of remote sensing technology such as RADARSAT-2 SAR images is also implemented to provide accurate air turbulence detections.

Injuries due to air turbulence has increased recently, therefore there is considerable concern and interest in understanding and detecting it more accurately. Presently hardly any research deals with air turbulence detection using remote sensing images. Most works use conventional optical remote sensing data with classical methods such as a library spectral signature, band ratio, and principal component analysis without designating new methods and technology. Very little research has attempted to implement optical and microwave remote sensing images for air turbulence detections.This book provides new image processing procedures for air turbulence detection using advanced remote sensing images and quantum image processing. Currently, there is a huge gap between research work in the field of air turbulence detection and advanced remote sensing technology. Most of the theories are not operated in terms of software modules. Most of the software packages in the field of remote sensing images cannot deal with advanced image processing techniques in air turbulence detections due to heavy mathematics work. In this view, this book fills a gap between advanced remote sensing technology and air turbulence detection. For instance, quantum image processing with a new generation of remote sensing technology such as RADARSAT-2 SAR images is also implemented to provide accurate air turbulence detections.

A groundbreaking synthesis of science, technology, and geopolitics, this book delivers an unprecedented analysis of the Grand Ethiopian Renaissance Dam (GERD). Leveraging advanced quantum computing, radar interferometry, and remote sensing—including Sentinel-1, ICEYE, and TerraSAR-X—this work reveals hidden structuralvulnerabilities in GERD and models catastrophic breach scenarios. Featuring the original Marghany Hologram-TomoSAR algorithm and new quantum phase unwrappingmethods, it offers critical insights into environmental, engineering, and military dimensions. From sediment saturation to seismic risk, and from biblical prophecy to regional diplomacy, this book challenges conventional narratives and opens new frontiers in monitoring, forecasting, and strategic response to GERD's evolving dynamics.

This book provides a groundbreaking exploration of satellite remote sensing's role in tracking the mobility and spread of COVID-19, focusing on its origin in Wuhan City. It addresses the gap in research by employing advanced techniques like quantum image processing to analyze satellite data and differentiate between COVID-19-related deaths and other causes. Additionally, it explores conspiracy theories, vaccine development through quantum mechanics, and the use of quantum computing for detecting pandemic patterns. The book also delves into the economic impact of COVID-19, offering a scientific response to geopolitical tensions and media accusations surrounding the pandemic's origins.

This book provides a groundbreaking exploration of satellite remote sensing's role in tracking the mobility and spread of COVID-19, focusing on its origin in Wuhan City. It addresses the gap in research by employing advanced techniques like quantum image processing to analyze satellite data and differentiate between COVID-19-related deaths and other causes. Additionally, it explores conspiracy theories, vaccine development through quantum mechanics, and the use of quantum computing for detecting pandemic patterns. The book also delves into the economic impact of COVID-19, offering a scientific response to geopolitical tensions and media accusations surrounding the pandemic's origins.

Interferometric Synthetic Aperture Radar (InSAR) technology is an operational tool for measuring and monitoring coastal urban stability, including the disappearance of coastal cities. This book provides a comprehensive understanding of how to track climate change impacts on coastal dynamics and their consequent effects on coastal geomorphological changes. Advanced InSAR techniques are discussed, including case studies focusing on the coastal urban areas of Alexandria, Egypt, and Singapore, as well as other potential coastal cities. This book:Describes the use of advanced radar technology for monitoring wave impacts and coastal city damageIntroduces new InSAR technologies for assessing coastal infrastructure and urban disappearanceAddresses the integration of modern radar interferometry modeling in coastal city sustainabilityDiscusses innovative approaches to model and simulate coastal sediment processes and erosion using space-based interferometryExplores the forecasting of city disappearance and collapse through examples utilizing TerraSAR spot mode dataThis book is intended for graduate students and researchers in coastal engineering, environmental sciences, remote sensing, computer modeling, and image/signal processing.