Hyperspectral Data Compression / Edition 1

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Hyperspectral Data Compression presents the most recent results in the field of compression of remote sensing 3D data, with a focus on multispectral and hyperspectral imagery. This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives, remote sensing, scientific image processing, military and aerospace image processing, image segmentation, image classification, and target detection.
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Editorial Reviews

From the Publisher

From the reviews:

"Motta, Rizzo, and Storer … are veterans in the field of data compression, both individually and collaboratively. They bring together a concentrated set of contributed papers, focusing on compressing hyperspectral (multidimensional) data. … This compendium describes cutting-edge compression technology, and is sure to occupy an important position in the current literature of the field. The editors have accomplished their goal of making this technology available to the educational and industrial communities." (R. Goldberg, Computing Reviews, Vol. 50 (1), January, 2009)

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Product Details

  • ISBN-13: 9780387285795
  • Publisher: Springer US
  • Publication date: 11/17/2005
  • Edition description: 2006
  • Edition number: 1
  • Pages: 418
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.94 (d)

Meet the Author

James A. Storer is Chair of the IEEE Data Compression Conference.

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Table of Contents

Ch. 1 An architecture for the compression of hyperspectral imagery 1
Ch. 2 Lossless predictive compression of hyperspectral images 35
Ch. 3 Lossless hyperspectral image compression via linear prediction 57
Ch. 4 Lossless compression of ultraspectral sounder data 75
Ch. 5 Locally optimal partitioned vector quantization of hyperspectral data 107
Ch. 6 Near-lossless compression of hyperspectral imagery through crisp/fuzzy adaptive DPCM 147
Ch. 7 Joint classification and compression of hyperspectral images 179
Ch. 8 Predictive coding of hyperspectral images 197
Ch. 9 Coding of hyperspectral imagery with trellis-coded quantization 233
Ch. 10 Three-dimensional wavelet-based compression of hyperspectral images 273
Ch. 11 Spectral/spatial hyperspectral image compression 309
Ch. 12 Compression of Earth science data with JPEG2000 347
Ch. 13 Spectral ringing artifacts in hyperspectral image data compression 379
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