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Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Author: Michael R. Descour
Publisher: Society of Photo Optical
Published: 2000
Total Pages: 534
ISBN-13: 9780819436757
DOWNLOAD EBOOK →Later ed. of: Algorithms for multispectral and hyperspectral imagery.
Hyperspectral Data Processing
Author: Chein-I Chang
Publisher: John Wiley & Sons
Published: 2013-04-08
Total Pages: 1180
ISBN-13: 0471690562
DOWNLOAD EBOOK →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.
Algorithms for Multispectral and Hyperspectral Imagery
Hyperspectral Image Analysis
Author: Saurabh Prasad
Publisher: Springer Nature
Published: 2020-04-27
Total Pages: 464
ISBN-13: 3030386171
DOWNLOAD EBOOK →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, Hyperspectral, and Ultraspectral Imagery
Algorithms for Multispectral and Hyperspectral Imagery V
Author: Society of Photo-optical Instrumentation Engineers
Publisher: Society of Photo Optical
Published: 1999
Total Pages: 206
ISBN-13: 9780819431912
DOWNLOAD EBOOK →Algorithms for Multispectral and Hyperspectral Imagery IV
Author: Sylvia S. Shen
Publisher: SPIE-International Society for Optical Engineering
Published: 1998
Total Pages: 0
ISBN-13: 9780819428219
DOWNLOAD EBOOK →Divided into four sections, these conference papers cover: detection and classification; image enhancement and data compression; data fusion and sharpening; sensors, calibration, and correction.
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
Techniques and Applications of Hyperspectral Image Analysis
Author: Hans Grahn
Publisher: John Wiley & Sons
Published: 2007-09-27
Total Pages: 390
ISBN-13: 9780470010877
DOWNLOAD EBOOK →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.
