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Lidar Engineering : Introduction to Basic Principles by Gary G. Gimmestad and David W. Roberts (2023, Hardcover)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-100521198518
ISBN-139780521198516
eBay Product ID (ePID)28057249861
Product Key Features
Book TitleLidar Engineering : Introduction to Basic Principles
Number of Pages450 Pages
LanguageEnglish
TopicElectronics / Optoelectronics, Physics / General
Publication Year2023
IllustratorYes
GenreTechnology & Engineering, Science
AuthorGary G. Gimmestad, David W. Roberts
FormatHardcover
Dimensions
Item Height0.9 in
Item Length9.8 in
Item Width6.8 in
Additional Product Features
LCCN2022-033777
Dewey Edition23
Dewey Decimal621.366
Table Of Content1. Introduction; 2. The basic lidar models; 3. The molecular atmosphere; 4. Particles in the atmosphere; 5. Lidar transmitters; 6. Lidar receivers and the geometrical function; 7. Optomechanics; 8. Optical detection; 9. Data systems; 10. Lidar data analysis; 11. Applications; Appendix.
SynopsisExplore the spectrum of lidar engineering in this one-of-a-kind introduction. This unique, accessible book is the first to feature an up-to-date treatment of all the science and engineering aspects of this multidisciplinary field. Building up from the basics, this book will give you a through grounding in lidar., Explore the spectrum of lidar engineering in this one-of-a-kind introduction. For the first time, this multidisciplinary resource covers all the scientific and engineering aspects of atmospheric lidar - including atmospheric science, spectroscopy, lasers and eye safety, classical optics and electro-optics, electrical and mechanical engineering, and software algorithms - in a single comprehensive and authoritative book. Discover up-to-date material not included in any other book, including simple treatments of the lidar crossover range and depolarization in lidar signals, an improved explanation of lidar data inversion algorithms, digital signal processing applications in lidar, and statistical limitations of lidar signal-to-noise ratios. This is an ideal standalone text for students seeking a thorough grounding in lidar, whether through a taught course or self-study.
LC Classification NumberQC976.L36G56 2023
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