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In den WarenkorbZustand: New. xv, 282 pages, illustrations some color First edition Includes bibliographical references and index.
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In den WarenkorbZustand: New. xv, 282 pages, illustrations some color.
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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032214813 ISBN 13: 9781032214818
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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 Marghanys 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 todays 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 reveals the critical tools required to comprehend the latest technology surrounding the remote sensing imaging of mineralogy, oil and gas explorations. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 103234458X ISBN 13: 9781032344584
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. Comprises a broad overview of quantum theory for understanding automatic detection of air turbulence with remote sensing data. Quantum theory explains the electromagnetic wave ranges of varieties of remote sensing satellite data from short wavelength to long wavelength. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 860.
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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 103234458X ISBN 13: 9781032344584
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. Comprises a broad overview of quantum theory for understanding automatic detection of air turbulence with remote sensing data. Quantum theory explains the electromagnetic wave ranges of varieties of remote sensing satellite data from short wavelength to long wavelength. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbZustand: New.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 103234458X ISBN 13: 9781032344584
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. Comprises a broad overview of quantum theory for understanding automatic detection of air turbulence with remote sensing data. Quantum theory explains the electromagnetic wave ranges of varieties of remote sensing satellite data from short wavelength to long wavelength. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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