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Motta, Giovanni

Hyperspectral Data Compression

Motta, Giovanni - Hyperspectral Data Compression, ebook

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ISBN: 9780387286006
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Table of contents

1. An Architecture for the Compression of Hyperspectral Imagery
Mark R. Pickering, Michael J. Ryan

2. Lossless Predictive Compression of Hyperspectral Images
Hongqiang Wang, Khalid Sayood

3. Lossless Hyperspectral Image Compression via Linear Prediction
Jarno Mielikainen, Pekka Toivanen

4. Lossless Compression of Ultraspectral Sounder Data
Bormin Huang, Alok Ahuja, Hung-Lung Huang

5. Locally Optimal Partitioned Vector Quantization of Hyperspectral Data
G. Motta, F. Rizzo, J. A. Storer

6. Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Leonardo Santurri

7. Joint Classification and Compression of Hyperspectral Images
Grégoire Mercier, Marc Lennon

8. Predictive Coding of Hyperspectral Images
Agnieszka C. Miguel, Richard E. Ladner, Eve A. Riskin, Scott Hauck, Dane K. Barney, ‡Amanda R. Askew, Alexander Chang

9. Coding of Hyperspectral Imagery with Trellis-Coded Quantization
Glen P. Abousleman

10. Three-Dimensional Wavelet-Based Compression of Hyperspectral Images
Xiaoli Tang, William A. Pearlman

11. Spectral/Spatial Hyperspectral Image Compression
Bharath Ramakrishna, Antonio J. Plaza, Chein-I Chang, Hsuan Ren, Qian Du, Chein-Chi Chang

12. Compression of Earth Science Data with JPEG2000
Prajit Kulkarni, Ali Bilgin, Michael W. Marcellin, Joseph C. Dagher, James H. Kasner, Thomas J. Flohr, Janet C. Rountree

13. Spectral Ringing Artifacts in Hyperspectral Image Data Compression
Matthew Klimesh, Aaron Kiely, Hua Xie, Nazeeh Aranki

Keywords: Computer Science, Information Storage and Retrieval, Data Storage Representation, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision

Author(s)
 
 
Publisher
Springer
Publication year
2006
Language
en
Edition
1
Page amount
428 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9780387286006

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