Produktinformationen zu „Hyperspectral Data Compression (PDF)“
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.
Inhaltsverzeichnis zu „Hyperspectral Data Compression (PDF)“
Compression of Earth Science Data with JPEG2000.- Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM.- Lossless Hyperspectral Image Compression via Linear Prediction.- Coding of Hyperspectral Imagery with Trellis-Coded Quantization.- Predictive Coding of Hyperspectral Images.- An Architecture for the Compression of Hyperspectral Imagery.- Lossless Compression of Hyperspectral Sounder Data.- Three-Dimensional Wavelet-Based Image Compression.- Lossless Predictive Compression of Hyperspectral Images.- Locally Optimal Partitioned Vector Quantization of Hyperspectral Data.- Joint Classification and Compression of Hyperspectral Images.- Predictive Coding of Hyperspectral Images.- Spectral/Spatial Hyperspectral Image Compression.- Spectral Ringing Artifacts in Hyperspectral Image Data Compression.- Index.
Autoren-Porträt
James A. Storer is Chair of the IEEE Data Compression Conference.
Bibliographische Angaben
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2006, 2006, 418 Seiten, Englisch
- Herausgegeben: Giovanni Motta, Francesco Rizzo, James A. Storer
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387286004
- ISBN-13: 9780387286006
- Erscheinungsdatum: 03.06.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
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Dateiformat: PDF
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Größe: 45 MB
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Ohne Kopierschutz
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Vorlesefunktion
Pressezitat
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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