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Hyperspectral Data Compression / Edition 1
     

Hyperspectral Data Compression / Edition 1

by Giovanni Motta, Francesco Rizzo, James A. Storer
 

ISBN-10: 0387285792

ISBN-13: 9780387285795

Pub. Date: 11/17/2005

Publisher: Springer US

Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit

Overview

Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression

Product Details

ISBN-13:
9780387285795
Publisher:
Springer US
Publication date:
11/17/2005
Edition description:
2006
Pages:
418
Product dimensions:
6.14(w) x 9.25(h) x 0.04(d)

Table of Contents


"An Architecture for the Compression of Hyperspectral Imagery"   Mark R. Pickering   Michael J. Ryan     1
"Lossless Predictive Compression of Hyperspectral Images"   Honqiang Wang   Khalid Sayood     35
"Lossless Hyperspectral Image Compression via Linear Prediction"   Jarno Mielikainen   Pekka Toivanen     57
"Lossless Compression of Ultraspectral Sounder Data"   Bormin Huang   Alok Ahuja   Hung-Lung Huang     75
"Locally Optimal Partitioned Vector Quantization of Hyperspectral Data"   Giovanni Motta   Francesco Rizzo   James A. Storer     107
"Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM"   Bruno Aiazzi   Luciano Alparone   Stefano Baronti   Cinzia Lastri   Leonardo Santurri     147
"Joint Classification and Compression of Hyperspectral Images"   Gregoire Mercier   Marc Lennon     179
"Predictive Coding of Hyperspectral Images"   Agnieszka Miguel   Richard Ladner   Eve Riskin   Scott Hauck   Dane Barney   Amanda Askew   Alexander Chang     197
"Coding of Hyperspectral Imagery with Trellis-Coded Quantization"   Glen P.Abousleman     233
"Three-Dimensional Wavelet-Based Compression of Hyperspectral Images"   Xiaoli Tang   William A. Pearlman     273
"Spectral/Spatial Hyperspectral Image Compression"   Bharath Ramakrishna   Antonio J. Plaza   Chein-I Chang   Hsuan Ren   Qian Du   Chein-Chi Chang     309
"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     347
"Spectral Ringing Artifacts in Hyperspectral Image Data Compression"   Mattew Klimesh   Aaron Kiely   Hua Xie   Nazeeh Aranki     379

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