Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms

by Dimitris Manolakis, Ronald Lockwood, and Thomas Cooley

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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.
  • ISBN13 9781107083660
  • Publish Date 20 October 2016 (first published 5 October 2016)
  • Publish Status Active
  • Out of Print 7 July 2021
  • Publish Country GB
  • Imprint Cambridge University Press
  • Format Hardcover
  • Pages 706
  • Language English