Advanced Topics in Spectral Techniques for Hyperspectral Imaging

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Opis: Advanced Topics in Spectral Techniques for Hyperspectral Imaging - Chein-I Chang, C Chang

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.


Szczegóły: Advanced Topics in Spectral Techniques for Hyperspectral Imaging - Chein-I Chang, C Chang

Tytuł: Advanced Topics in Spectral Techniques for Hyperspectral Imaging
Autor: Chein-I Chang, C Chang
Producent: John Wiley
ISBN: 9780471690566
Rok produkcji: 2013
Ilość stron: 1136
Oprawa: Twarda


Recenzje: Advanced Topics in Spectral Techniques for Hyperspectral Imaging - Chein-I Chang, C Chang

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Advanced Topics in Spectral Techniques for Hyperspectral Imaging

,

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.

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Cena 672,00 PLN
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Oszczędzasz 6%
Wysyłka: Niedostępna
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Szczegóły: Advanced Topics in Spectral Techniques for Hyperspectral Imaging - Chein-I Chang, C Chang

Tytuł: Advanced Topics in Spectral Techniques for Hyperspectral Imaging
Autor: Chein-I Chang, C Chang
Producent: John Wiley
ISBN: 9780471690566
Rok produkcji: 2013
Ilość stron: 1136
Oprawa: Twarda


Recenzje: Advanced Topics in Spectral Techniques for Hyperspectral Imaging - Chein-I Chang, C Chang

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