Remote Sensing and Image Processing in Mineralogy
Remote Sensing and Image Processing in Mineralogy

Author: Maged Marghany

Publisher: CRC Press

Published: 2022-03-03

Total Pages: 300

ISBN-13: 1000548732

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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.

Remote Sensing and Image Processing in Mineralogy
Remote Sensing and Image Processing in Mineralogy

Author: Maged Marghany

Publisher: CRC Press

Published: 2022-03-02

Total Pages: 412

ISBN-13: 1000548767

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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.

Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns
Remote Sensing Image Processing Algorithms for Detecting Air Turbulence Patterns

Author: Maged Marghany

Publisher: CRC Press

Published: 2024-11-22

Total Pages: 377

ISBN-13: 1040222986

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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.

Remote Sensing and Image Interpretation
Remote Sensing and Image Interpretation

Author: Thomas M. Lillesand

Publisher: John Wiley & Sons

Published: 2004

Total Pages: 838

ISBN-13:

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From recent developments in digital image processing to the next generation of satellite systems, this book provides a comprehensive introduction to the field of remote sensing and image interpretation. This book is discipline neutral, so readers in any field of study can gain a clear understanding of these systems and their virtually unlimited applications. * The authors underscore close interactions among the related areas of remote sensing, GIS, GPS, digital image processing, and environmental modeling. * Appendices include material on sources of remote sensing data and information, remote sensing periodicals, online glossaries, and online tutorials.

Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar

Author: Maged Marghany

Publisher: Elsevier

Published: 2021-12-02

Total Pages: 400

ISBN-13: 0128218029

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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

Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Author: Amin Beiranvand Pour

Publisher: MDPI

Published: 2021-09-01

Total Pages: 416

ISBN-13: 3036512640

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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.

Celebrating the International Year of Mineralogy
Celebrating the International Year of Mineralogy

Author: Luca Bindi

Publisher: Springer Nature

Published: 2023-05-06

Total Pages: 361

ISBN-13: 303128805X

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This volume celebrates mineral sciences and what are considered the most important progresses and breakthroughs in this discipline. Authoritative authors, who, in most cases, are the direct discoverers recount the steps of their research, which represent landmark developments of mineralogy and mineralogical crystallography.

Clays in the Mineral Processing Value Chain
Clays in the Mineral Processing Value Chain

Author: Markus Gräfe

Publisher: Cambridge University Press

Published: 2017-08-31

Total Pages: 473

ISBN-13: 1107157323

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A review of the issues surrounding clays in the mineral processing value chain, from mining to processing and waste disposal.

Remote Sensing Image Analysis: Including the Spatial Domain
Remote Sensing Image Analysis: Including the Spatial Domain

Author: Steven M. de Jong

Publisher: Springer Science & Business Media

Published: 2007-07-26

Total Pages: 370

ISBN-13: 1402025602

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Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Author: Pramod K. Varshney

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 344

ISBN-13: 3662056054

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The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.