Download PDF Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms, by Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley
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Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms, by Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley
Download PDF Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms, by Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. 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.
- Sales Rank: #1262764 in Books
- Published on: 2016-12-31
- Original language: English
- Dimensions: 9.72" h x 1.38" w x 6.85" l, .0 pounds
- Binding: Hardcover
- 706 pages
Review
"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
"An extraordinarily comprehensive treatment of hyperspectral remote sensing by three of the field's noted authorities. An indispensable reference for those new to the field and for the seasoned professional."
Ronald G. Resmini, George Mason University, Virginia
About the Author
Dimitris Manolakis is a senior member of technical staff at the Lincoln Laboratory, Massachusetts Institute of Technology. He is the co-author of Applied Digital Signal Processing (Cambridge, 2011), and has taught at various institutions including Northeastern University, Boston, Boston College, Massachusetts, and Worcester Polytechnic Institute, Massachusetts. He is an IEEE Fellow, and in 2013 he received the IEEE Signal Processing Society Education Award.
Ronald Lockwood is a member of technical staff at the Lincoln Laboratory, Massachusetts Institute of Technology. He previously worked at the Air Force Research Laboratory where he developed imaging spectrometers for both space-based and air-borne applications. He has also developed vicarious calibration techniques in collaboration with colleagues at the University of Arizona and the NASA Goddard Space Flight Center.
Thomas Cooley is the Senior Scientist for Space Situational Awareness at the US Air Force Research Laboratory, and has made significant contributions to the fields of atmospheric compensation and spectral data analysis. He developed the ARTEMIS sensor program, which was successfully launched in 2009, and has published over 70 research papers.
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