Algorithms For Multispectral And Hyperspectral Imagery

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Hyperspectral Imaging Remote Sensing

Author : Dimitris G. Manolakis
Publisher : Cambridge University Press
ISBN 13 : 1316033406
Total Pages : 701 pages
Book Rating : 4.3/5 (16 download)

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Book Synopsis Hyperspectral Imaging Remote Sensing by : Dimitris G. Manolakis

Download or read book Hyperspectral Imaging Remote Sensing written by Dimitris G. Manolakis and published by Cambridge University Press. This book was released on 2016-10-20 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.

Hyperspectral Image Analysis

Author : Saurabh Prasad
Publisher : Springer Nature
ISBN 13 : 3030386171
Total Pages : 464 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Hyperspectral Image Analysis by : Saurabh Prasad

Download or read book Hyperspectral Image Analysis written by Saurabh Prasad and published by Springer Nature. This book was released on 2020-04-27 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Algorithms for Multispectral and Hyperspectral Imagery

Author :
Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms for Multispectral and Hyperspectral Imagery by :

Download or read book Algorithms for Multispectral and Hyperspectral Imagery written by and published by . This book was released on 1999 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hyperspectral Data Processing

Author : Chein-I Chang
Publisher : John Wiley & Sons
ISBN 13 : 1118269772
Total Pages : 1180 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Hyperspectral Data Processing by : Chein-I Chang

Download or read book Hyperspectral Data Processing written by Chein-I Chang and published by John Wiley & Sons. This book was released on 2013-02-01 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author’s first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.

Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016)

Author : Hui Yang
Publisher : #N/A
ISBN 13 : 9813206837
Total Pages : 845 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) by : Hui Yang

Download or read book Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) written by Hui Yang and published by #N/A. This book was released on 2017-06-28 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.

Hyperspectral Imaging

Author :
Publisher : Elsevier
ISBN 13 : 0444639780
Total Pages : 802 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Hyperspectral Imaging by :

Download or read book Hyperspectral Imaging written by and published by Elsevier. This book was released on 2019-09-29 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. - Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed - Covers state-of-the-art applications in different scientific fields - Discusses the implementation of hyperspectral devices in different environments

Hyperspectral Remote Sensing

Author : Michael Theodore Eismann
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 : 9780819487872
Total Pages : 0 pages
Book Rating : 4.4/5 (878 download)

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Book Synopsis Hyperspectral Remote Sensing by : Michael Theodore Eismann

Download or read book Hyperspectral Remote Sensing written by Michael Theodore Eismann and published by SPIE-International Society for Optical Engineering. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery

Author :
Publisher :
ISBN 13 :
Total Pages : 622 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery by :

Download or read book Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery written by and published by . This book was released on 2001 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery

Author :
Publisher :
ISBN 13 :
Total Pages : 804 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery by :

Download or read book Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery written by and published by . This book was released on 2007 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Author : Pramod K. Varshney
Publisher : Springer
ISBN 13 : 9783662056066
Total Pages : 323 pages
Book Rating : 4.0/5 (56 download)

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Book Synopsis Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by : Pramod K. Varshney

Download or read book Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data written by Pramod K. Varshney and published by Springer. This book was released on 2014-03-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Remote Sensing

Author : Prem Chandra Pandey
Publisher : Elsevier
ISBN 13 : 0081028954
Total Pages : 508 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Hyperspectral Remote Sensing by : Prem Chandra Pandey

Download or read book Hyperspectral Remote Sensing written by Prem Chandra Pandey and published by Elsevier. This book was released on 2020-08-05 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Future of Hyperspectral Imaging

Author : Stefano Selci
Publisher : MDPI
ISBN 13 : 3039218220
Total Pages : 220 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis The Future of Hyperspectral Imaging by : Stefano Selci

Download or read book The Future of Hyperspectral Imaging written by Stefano Selci and published by MDPI. This book was released on 2019-11-20 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.

Techniques and Applications of Hyperspectral Image Analysis

Author : Hans Grahn
Publisher : John Wiley & Sons
ISBN 13 : 9780470010877
Total Pages : 390 pages
Book Rating : 4.0/5 (18 download)

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Book Synopsis Techniques and Applications of Hyperspectral Image Analysis by : Hans Grahn

Download or read book Techniques and Applications of Hyperspectral Image Analysis written by Hans Grahn and published by John Wiley & Sons. This book was released on 2007-09-27 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multimodal Scene Understanding

Author : Michael Ying Yang
Publisher : Academic Press
ISBN 13 : 0128173599
Total Pages : 424 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Multimodal Scene Understanding by : Michael Ying Yang

Download or read book Multimodal Scene Understanding written by Michael Ying Yang and published by Academic Press. This book was released on 2019-07-16 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Multispectral and Hyperspectral Image Acquisition and Processing

Author : Qingxi Tong
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 414 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multispectral and Hyperspectral Image Acquisition and Processing by : Qingxi Tong

Download or read book Multispectral and Hyperspectral Image Acquisition and Processing written by Qingxi Tong and published by SPIE-International Society for Optical Engineering. This book was released on 2001 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Blind Source Separation

Author : Pierre Comon
Publisher : Academic Press
ISBN 13 : 0080884946
Total Pages : 856 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Handbook of Blind Source Separation by : Pierre Comon

Download or read book Handbook of Blind Source Separation written by Pierre Comon and published by Academic Press. This book was released on 2010-02-17 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation. - Covers the principles and major techniques and methods in one book - Edited by the pioneers in the field with contributions from 34 of the world's experts - Describes the main existing numerical algorithms and gives practical advice on their design - Covers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communications - Shows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications

Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning

Author : Maki K. Habib
Publisher : Engineering Science Reference
ISBN 13 : 9781799886860
Total Pages : 445 pages
Book Rating : 4.8/5 (868 download)

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Book Synopsis Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning by : Maki K. Habib

Download or read book Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning written by Maki K. Habib and published by Engineering Science Reference. This book was released on 2022 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides the latest research, investigation, and development in the area of living systems intelligence, human-level cognition & artificial systems, nature and bioinspiration, machine learning techniques, Deep Learning techniques and applications, and systems that exhibit intelligent autonomous behavioral characteristics"--