Hyperspectral Imaging Remote Sensing
eBook - PDF

Hyperspectral Imaging Remote Sensing

Physics, Sensors, and Algorithms

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Hyperspectral Imaging Remote Sensing

Physics, Sensors, and Algorithms

About this book

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.

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Yes, you can access Hyperspectral Imaging Remote Sensing by Dimitris G. Manolakis,Ronald B. Lockwood,Thomas W. Cooley in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Reviews
  4. Title page
  5. Copyright page
  6. Dedication
  7. Contents
  8. Preface
  9. 1 Introduction
  10. 2 The Remote Sensing Environment
  11. 3 Spectral Properties of Materials
  12. 4 Imaging Spectrometers
  13. 5 Imaging Spectrometer Characterization and Data Calibration
  14. 6 Radiative Transfer and Atmospheric Compensation
  15. 7 Statistical Models for Spectral Data
  16. 8 Linear Spectral Transformations
  17. 9 Spectral Mixture Analysis
  18. 10 Signal Detection Theory
  19. 11 Hyperspectral Data Exploitation
  20. Appendix Introduction to Gaussian Optics
  21. Bibliography
  22. Index