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Hyperspectral data exploitation : theory and applications
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Hyperspectral data exploitation : theory and applications

Author: Chein-I Chang
Publisher: Hoboken, N.J. : Wiley-Interscience, ©2007.
Edition/Format:   Book : EnglishView all editions and formats
Summary:

Written by a panel of experts in the field, Hyperspectral Data Exploitation: Theory and Applications focuses on hyperspectral image analysis, systems, and applications.

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Genre/Form: Aufsatzsammlung
Additional Physical Format: Online version:
Hyperspectral data exploitation.
Hoboken, N.J. : Wiley-Interscience, c2007
(OCoLC)608164422
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Chein-I Chang
ISBN: 9780471746973 0471746975
OCLC Number: 73501794
Description: x, 430 p. : ill. ; 25 cm.
Contents: Hyperspectral imaging systems / John P. Kerekes and John R. Schott --
Information-processed matched filters for hyperspectral target detection and classification / Chein-I Chang --
An optical real-time adaptive spectral identification system (Orasis) / Jeffrey H. Bowles and David B. Gillis --
Stochastic mixture modeling / Michael T. Eismann and David W.J. Stein --
Unmixing hyperspectral data: independent and defendent component analysis / Jose M.P. Nascimento and Jose M.B. Dias --
Maximum volume transform for endmember specta determination / Michael E. Winter --
Hyperspectral data representation / Xiuping Jia and John A. Richards --
Optimal band selection and utility evaluation for spectral systems / Sylvia S. Shen --
Feature reduction for classification purpose / Sebastiano B. Serpico, Gabriele Moser, and Andrea F. Cattoni --
Semisupervised support vector machines for classification of hyperspectral remote sensing images / Lorenzo Bruzzone, Mingmin Chi, and Mattia Marconcini --
Decision fusion for hyperspectral classification / Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson --
Morphological hyperspectral image classification: a parallel processing perspective / Antonio J. Plaza --
Three-dimensional wavelet-based compression of hyperspectral imagery / James E. Fowler and Justin T. Rucker.
Responsibility: edited by Chein-I Chang.
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