Hyperspectral Imaging Remote Sensing
Physics, Sensors, and Algorithms
By Dimitris Manolakis,Ronald Lockwood,Thomas Cooley | Publisher: Cambridge University Press
About the 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.
Editions of Hyperspectral Imaging Remote Sensing
- Hardcover
- ISBN 9781107083660
Read an Excerpt
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.
Frequently Asked Questions
What is Hyperspectral Imaging Remote Sensing about?
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.
What core themes, tropes, or subjects are explored in Hyperspectral Imaging Remote Sensing?
Technology, Engineering, Agriculture, Industrial processes > Other technologies and applied sciences > Applied optics > Imaging systems and technology
Where can I read a sample of Hyperspectral Imaging Remote Sensing?
You can read an official preview of the few pages here https://www.book2look.com/book/9781107083660
Who is/are the Author/s of the book Hyperspectral Imaging Remote Sensing?
Dimitris Manolakis,Ronald Lockwood,Thomas Cooley
What are the ISBN numbers for the physical and digital editions?
Hyperspectral Imaging Remote Sensing is available as hardcover(ISBN 9781107083660)