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Hyperspectral Imaging Remote Sensing : Physics, Sensors, and Algorithms by Ronald Lockwood, Dimitris Manolakis and Thomas Cooley (2016, Hardcover)
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- Buy It NowHyperspectral Imaging Remote Sensing : Physics, Sensors, and Algorithms, Hard...
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-101107083664
ISBN-139781107083660
eBay Product ID (ePID)222056380
Product Key Features
Number of Pages706 Pages
LanguageEnglish
Publication NameHyperspectral Imaging Remote Sensing : Physics, Sensors, and Algorithms
SubjectSignals & Signal Processing, Image Processing, Remote Sensing & Geographic Information Systems
Publication Year2016
TypeTextbook
AuthorRonald Lockwood, Dimitris Manolakis, Thomas Cooley
Subject AreaComputers, Technology & Engineering
FormatHardcover
Dimensions
Item Height1.4 in
Item Weight53.1 Oz
Item Length10 in
Item Width7.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-025909
Reviews"The authors have done a masterful job of integrating and presenting the diverse subjects that form the foundation of the field of hyperspectral imaging and applications. This comprehensive textbook will clearly become one of the standard references for all who wish to learn about both fundamentals and advanced applications in this important field." Charles Bachmann, Rochester Institute of Technology, New York
Dewey Edition23
IllustratedYes
Dewey Decimal771
Table Of Content1. Introduction; 2. The remote sensing environment; 3. Spectral properties of materials; 4. Imaging spectrometers; 5. Imaging spectrometer characterization and data calibration; 6. Radiative transfer and atmospheric compensation; 7. Statistical models for spectral data; 8. Linear spectral transformations; 9. Spectral mixture analysis; 10. Signal detection theory; 11. Hyperspectral data exploitation; Appendix. Introduction to Gaussian optics.
SynopsisUnderstand the principles, techniques and tools of imaging spectroscopy with this introductory guide providing comprehensive coverage of sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. It explains how to apply algorithms to practical problems and interpret hyperspectral imaging data., 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.
LC Classification NumberTR267.733.M85M36
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