UID:
almafu_9959328582202883
Format:
1 online resource (xi, 508 pages) :
,
illustrations (some color)
Edition:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
047142028X
,
9780471420286
,
0471723800
,
9780471723806
,
0471721255
,
9780471721253
Note:
Part I. Introduction -- Introduction and Background, p. 1-27 -- Part II. The Basics for Conventional Multispectral Data -- Radiation and Sensor Systems in Remote Sensing, p. 29-90 -- Pattern Recognition in Remote Sensing, p. 91-192 -- Part III. Additional Details -- Training a Classifier, p. 193-236 -- Hyperspectral Data Characteristics, p. 237-271 -- Feature Definition, p. 273-321 -- A Data Analysis Paradigm and Examples, p. 323-380 -- Use of Spatial Variations, p. 381-417 -- Noise in Remote Sensing Systems, p. 419-442 -- Multispectral Image Data Preprocessing, p. 443-472 -- Appendix. An Outline of Probability Theory, p. 473-481 -- Exercises, p. 483-502.
,
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Additional Edition:
Print version: Landgrebe, D.A. Signal theory methods in multispectral remote sensing. Hoboken, N.J. : Wiley, ©2003 ISBN 047142028X
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471723800
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471723800
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471723800
