Hyperspectral Imaging Remote Sensing
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Hyperspectral Imaging Remote Sensing
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Author : Dimitris G. Manolakis
language : en
Publisher: Cambridge University Press
Release Date : 2016-10-20
Hyperspectral Imaging Remote Sensing written by Dimitris G. Manolakis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-20 with Computers categories.
Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.
Hyperspectral Remote Sensing
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Author : Michael Theodore Eismann
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2012
Hyperspectral Remote Sensing written by Michael Theodore Eismann and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Image processing categories.
Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications that builds on the principles of material spectroscopy, radiative transfer, imaging spectrometry, and hyperspectral data processing. While there are many resources that suitably cover these areas individually and focus on specific aspects of the hyperspectral remote sensing field, this book provides a holistic treatment that captures its multidisciplinary nature. The content is oriented toward the physical principles of hyperspectral remote sensing as opposed to applications of hyperspectral technology. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available in this technology area and apply their knowledge to the understanding of material spectral properties, the design of hyperspectral systems, the analysis of hyperspectral imagery, and the application of the technology to specific problems.
Hyperspectral Remote Sensing
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Author : Marcus Borengasser
language : en
Publisher: CRC Press
Release Date : 2007-12-13
Hyperspectral Remote Sensing written by Marcus Borengasser and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-13 with Technology & Engineering categories.
Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made. Hyperspectral remote sensing is one the technologies that can help with reliable detection and identification. Presenting the fundamenta
Hyperspectral Remote Sensing
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Author : Ruiliang Pu
language : en
Publisher: CRC Press
Release Date : 2017-08-16
Hyperspectral Remote Sensing written by Ruiliang Pu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-16 with Science categories.
Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.
Advanced Image Processing Techniques For Remotely Sensed Hyperspectral Data
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Author : Pramod K. Varshney
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-08-12
Advanced Image Processing Techniques For Remotely Sensed Hyperspectral Data written by Pramod K. Varshney and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-12 with Computers categories.
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.
Hyperspectral Image Analysis
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Author : Saurabh Prasad
language : en
Publisher: Springer
Release Date : 2020-06-09
Hyperspectral Image Analysis written by Saurabh Prasad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Computers categories.
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Hyperspectral Remote Sensing
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Author : Prem Chandra Pandey
language : en
Publisher: Elsevier
Release Date : 2020-08-05
Hyperspectral Remote Sensing written by Prem Chandra Pandey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-05 with Science categories.
Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. - Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines - Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection - Provides an overview of the state-of-the-art, including algorithms, techniques and case studies
Multispectral And Hyperspectral Remote Sensing Data For Mineral Exploration And Environmental Monitoring Of Mined Areas
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Author : Amin Beiranvand Pour
language : en
Publisher: MDPI
Release Date : 2021-09-01
Multispectral And Hyperspectral Remote Sensing Data For Mineral Exploration And Environmental Monitoring Of Mined Areas written by Amin Beiranvand Pour and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Science categories.
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.
Remote Detection And Maritime Pollution
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Author : Stephane Le Floch
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-17
Remote Detection And Maritime Pollution written by Stephane Le Floch 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 2021-02-17 with Technology & Engineering categories.
The detection of marine pollution requires a scientific and operational response to identify contaminants, chemicals and hydrocarbons, and to support contrasting observations. Remote Detection and Maritime Pollution originates from the proceedings of CEDRE Information Day, held on October 13, 2016 in Brest, France. Containing four parts encompassing 13 chapters, this book explores remote detection channels for the multiform marine pollutions of today and of the future. With a focus on transatlantic cooperation, it covers remote detection sensors, the state of the art of maritime surveillance with regard to the interests of national and international authorities, the benefits of response strategy, and geophysical exploration. Future vectors (airplanes, drones, satellites, among others) and sensors (radar, optical, hyperspectral and so on) are also studied. This book is a valuable resource for practical solutions for marine authorities, industries (chemical, energy, aerospace, petroleum, shipping), lawyers and scientists.
Hyperspectral Remote Sensing Of Vegetation
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Author : Prasad S. Thenkabail
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Hyperspectral Remote Sensing Of Vegetation written by Prasad S. Thenkabail and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Science categories.
Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective "knowledge bank," it guides professionals to adopt the best practices for their own work.