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Author :
Release : 1999
Genre : Computer algorithms
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Algorithms for Multispectral and Hyperspectral Imagery by :
Download or read book Algorithms for Multispectral and Hyperspectral Imagery written by . This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael R. Descour
Release : 2000
Genre : Technology & Engineering
Kind : eBook
Book Rating : 757/5 ( reviews)
Book Synopsis Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI by : Michael R. Descour
Download or read book Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI written by Michael R. Descour. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: Later ed. of: Algorithms for multispectral and hyperspectral imagery.
Author : Chein-I Chang
Release : 2013-04-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 562/5 ( reviews)
Book Synopsis Hyperspectral Data Processing by : Chein-I Chang
Download or read book Hyperspectral Data Processing written by Chein-I Chang. This book was released on 2013-04-08. 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.
Author : Saurabh Prasad
Release : 2020-04-27
Genre : Computers
Kind : eBook
Book Rating : 171/5 ( reviews)
Book Synopsis Hyperspectral Image Analysis by : Saurabh Prasad
Download or read book Hyperspectral Image Analysis written by Saurabh Prasad. This book was released on 2020-04-27. 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.
Author : A. Evan Iverson
Release : 1994
Genre : Computer algorithms
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Algorithms for Multispectral and Hyperspectral Imagery by : A. Evan Iverson
Download or read book Algorithms for Multispectral and Hyperspectral Imagery written by A. Evan Iverson. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:
