Hyperspectral Remote Sensing And Applications

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Hyperspectral Remote Sensing

Author : Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos
Publisher : Elsevier
Page : 508 pages
File Size : 45,5 Mb
Release : 2020-08-05
Category : Science
ISBN : 9780081028957

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Hyperspectral Remote Sensing by Prem Chandra Pandey,Prashant K. Srivastava,Heiko Balzter,Bimal Bhattacharya,George P. Petropoulos Pdf

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

Hyperspectral Remote Sensing

Author : Marcus Borengasser,William S. Hungate,Russell Watkins
Publisher : CRC Press
Page : 130 pages
File Size : 42,8 Mb
Release : 2007-12-13
Category : Technology & Engineering
ISBN : 9781420012606

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Hyperspectral Remote Sensing by Marcus Borengasser,William S. Hungate,Russell Watkins Pdf

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

Author : Ruiliang Pu
Publisher : CRC Press
Page : 466 pages
File Size : 40,5 Mb
Release : 2017-08-16
Category : Science
ISBN : 9781498731607

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Hyperspectral Remote Sensing by Ruiliang Pu Pdf

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.

Hyperspectral Remote Sensing and Spectral Signature Applications

Author : S. Rajendran
Publisher : New India Publishing
Page : 576 pages
File Size : 55,8 Mb
Release : 2009
Category : Remote sensing
ISBN : 8189422340

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Hyperspectral Remote Sensing and Spectral Signature Applications by S. Rajendran Pdf

Contributed papers presented at the National Seminar on "Hyperspectral Remote Sensing and Spectral Signature Databse Management System," held on February 14-15, 2008 at Annamalai University.

Hyperspectral Remote Sensing of Vegetation

Author : Prasad S. Thenkabail,John G. Lyon
Publisher : CRC Press
Page : 766 pages
File Size : 41,8 Mb
Release : 2016-04-19
Category : Science
ISBN : 9781439845387

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Hyperspectral Remote Sensing of Vegetation by Prasad S. Thenkabail,John G. Lyon Pdf

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.

Hyperspectral Remote Sensing

Author : Ruiliang Pu
Publisher : CRC Press
Page : 128 pages
File Size : 45,6 Mb
Release : 2017-08-08
Category : Electronic
ISBN : 1498731597

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Hyperspectral Remote Sensing by Ruiliang Pu Pdf

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.

Hyperspectral Imaging Remote Sensing

Author : Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley
Publisher : Cambridge University Press
Page : 701 pages
File Size : 40,5 Mb
Release : 2016-10-20
Category : Science
ISBN : 9781107083660

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Hyperspectral Imaging Remote Sensing by Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley Pdf

Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide.

Hyperspectral Remote Sensing

Author : Michael Theodore Eismann
Publisher : SPIE-International Society for Optical Engineering
Page : 0 pages
File Size : 44,7 Mb
Release : 2012
Category : Image processing
ISBN : 0819487872

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Hyperspectral Remote Sensing by Michael Theodore Eismann Pdf

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.

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

Author : Amin Beiranvand Pour,Basem Zoheir,Biswajeet Pradhan,Mazlan Hashim
Publisher : MDPI
Page : 416 pages
File Size : 41,8 Mb
Release : 2021-09-01
Category : Science
ISBN : 9783036512648

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Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas by Amin Beiranvand Pour,Basem Zoheir,Biswajeet Pradhan,Mazlan Hashim Pdf

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.

Hyperspectral Image Analysis

Author : Saurabh Prasad,Jocelyn Chanussot
Publisher : Springer Nature
Page : 464 pages
File Size : 54,9 Mb
Release : 2020-04-27
Category : Computers
ISBN : 9783030386177

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Hyperspectral Image Analysis by Saurabh Prasad,Jocelyn Chanussot Pdf

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 and Application

Author : Robert O. Green
Publisher : SPIE-International Society for Optical Engineering
Page : 312 pages
File Size : 51,5 Mb
Release : 1998
Category : Science
ISBN : 0819429619

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Hyperspectral Remote Sensing and Application by Robert O. Green Pdf

Divided into four sections, these conference papers cover: sensors, calibration, and program overviews; minerals and geology; vegetation and forests; and feature extraction and classification algorithms.

Techniques and Applications of Hyperspectral Image Analysis

Author : Hans Grahn,Paul Geladi
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 45,7 Mb
Release : 2007-09-27
Category : Science
ISBN : 0470010878

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Techniques and Applications of Hyperspectral Image Analysis by Hans Grahn,Paul Geladi Pdf

Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.

Hyperspectral Satellites and System Design

Author : Shen-En Qian
Publisher : CRC Press
Page : 865 pages
File Size : 50,7 Mb
Release : 2020-04-22
Category : Technology & Engineering
ISBN : 9780429561177

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Hyperspectral Satellites and System Design by Shen-En Qian Pdf

Hyperspectral Satellites and System Design is the first book on this subject. It provides a systematic analysis and detailed design of the entire development process of hyperspectral satellites. Derived from the author’s 25-year firsthand experience as a technical lead of space missions at the Canadian Space Agency, the book offers engineers, scientists, and decision-makers detailed knowledge and guidelines on hyperspectral satellite system design, trade-offs, performance modeling and simulation, optimization from component to system level, subsystem design, and implementation strategies. This information will help reduce the risk, shorten the development period, and lower the cost of hyperspectral satellite missions. This book is a must-have reference for professionals in developing hyperspectral satellites and data applications. It is also an excellent introductory book for early practitioners and students who want to learn more about hyperspectral satellites and their applications.