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Hyperspectral imaging remote sensing...

Manolakis, Dimitris G.

Hyperspectral imaging remote sensing : = physics, sensors, and algorithms /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hyperspectral imaging remote sensing :/ Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley.
Reminder of title:	physics, sensors, and algorithms /
Author:	Manolakis, Dimitris G.
other author:	Cooley, Thomas W.
Published:	Cambridge, United Kingdom :Cambridge University Press, : c2016.,
Description:	xiii, 685 p., [8] p. of plates :ill. (some col.) ; : 26 cm.;
Subject:	Image processing - Digital techniques. -
Online resource:	https://www.loc.gov/catdir/enhancements/fy1618/2016025909-b.html
Online resource:	https://www.loc.gov/catdir/enhancements/fy1618/2016025909-d.html
Online resource:	https://www.loc.gov/catdir/enhancements/fy1618/2016025909-t.html
ISBN:	9781107083660 :

Hyperspectral imaging remote sensing : = physics, sensors, and algorithms /
Manolakis, Dimitris G.

Hyperspectral imaging remote sensing :physics, sensors, and algorithms /Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley. - Cambridge, United Kingdom :Cambridge University Press,c2016. - xiii, 685 p., [8] p. of plates :ill. (some col.) ;26 cm.

Includes bibliographical references (p. [654]-677) and index.

The remote sensing environment -- Spectral properties of materials -- Imaging spectrometers -- Imaging spectrometer characterization and data calibration -- Radiative transfer and atmospheric compensation -- Statistical models for spectral data -- Linear spectral transformations -- Spectral mixture analysis -- Signal detection theory -- Hyperspectral data exploitation

"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"--

ISBN: 9781107083660 :NT3184

LCCN: 2016025909Subjects--Topical Terms:

555959
Image processing
--Digital techniques.

LC Class. No.: TR267.733.M85 / M36 2016

Dewey Class. No.: 771

Hyperspectral imaging remote sensing : = physics, sensors, and algorithms /
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050 0 0 $a TR267.733.M85 $b M36 2016
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100 1 $a Manolakis, Dimitris G. $3 1091211
245 1 0 $a Hyperspectral imaging remote sensing : $b physics, sensors, and algorithms / $c Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley.
260 $a Cambridge, United Kingdom : $b Cambridge University Press, $c c2016.
300 $a xiii, 685 p., [8] p. of plates : $b ill. (some col.) ; $c 26 cm.
504 $a Includes bibliographical references (p. [654]-677) and index.
505 0 $a The remote sensing environment -- Spectral properties of materials -- Imaging spectrometers -- Imaging spectrometer characterization and data calibration -- Radiative transfer and atmospheric compensation -- Statistical models for spectral data -- Linear spectral transformations -- Spectral mixture analysis -- Signal detection theory -- Hyperspectral data exploitation
520 $a "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"-- $c Provided by publisher.
650 0 $a Image processing $x Digital techniques. $3 555959
650 0 $a Imaging systems. $3 639186
650 0 $a Remote-sensing images. $3 676740
650 0 $a Multispectral imaging. $3 1059627
700 1 $a Cooley, Thomas W. $3 1091213
700 1 $a Lockwood, Ronald B. $3 1091212
856 4 2 $3 Contributor biographical information $u https://www.loc.gov/catdir/enhancements/fy1618/2016025909-b.html
856 4 2 $3 Publisher description $u https://www.loc.gov/catdir/enhancements/fy1618/2016025909-d.html
856 4 1 $3 Table of contents only $u https://www.loc.gov/catdir/enhancements/fy1618/2016025909-t.html