Normal view MARC view ISBD view

Hyperspectral Data Compression [electronic resource] /edited by Giovanni Motta, Francesco Rizzo, James A. Storer.

by Motta, Giovanni [editor.]; Rizzo, Francesco [editor.]; Storer, James A [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Boston, MA : Springer US, 2006.Description: XI, 415 p. online resource.ISBN: 9780387286006.Subject(s): Computer science | Information storage and retrieval systems | Computer vision | Computer Science | Information Storage and Retrieval | Data Storage Representation | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer VisionDDC classification: 025.04 Online resources: Click here to access online
Contents:
An Architecture for the Compression of Hyperspectral Imagery -- Lossless Predictive Compression of Hyperspectral Images -- Lossless Hyperspectral Image Compression via Linear Prediction -- Lossless Compression of Ultraspectral Sounder Data -- Locally Optimal Partitioned Vector Quantization of Hyperspectral Data -- Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM -- Joint Classification and Compression of Hyperspectral Images -- Predictive Coding of Hyperspectral Images -- Coding of Hyperspectral Imagery with Trellis-Coded Quantization -- Three-Dimensional Wavelet-Based Compression of Hyperspectral Images -- Spectral/Spatial Hyperspectral Image Compression -- Compression of Earth Science Data with JPEG2000 -- Spectral Ringing Artifacts in Hyperspectral Image Data Compression.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)

An Architecture for the Compression of Hyperspectral Imagery -- Lossless Predictive Compression of Hyperspectral Images -- Lossless Hyperspectral Image Compression via Linear Prediction -- Lossless Compression of Ultraspectral Sounder Data -- Locally Optimal Partitioned Vector Quantization of Hyperspectral Data -- Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM -- Joint Classification and Compression of Hyperspectral Images -- Predictive Coding of Hyperspectral Images -- Coding of Hyperspectral Imagery with Trellis-Coded Quantization -- Three-Dimensional Wavelet-Based Compression of Hyperspectral Images -- Spectral/Spatial Hyperspectral Image Compression -- Compression of Earth Science Data with JPEG2000 -- Spectral Ringing Artifacts in Hyperspectral Image Data Compression.

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.

There are no comments for this item.

Log in to your account to post a comment.
@ Jomo Kenyatta University Of Agriculture and Technology Library

Powered by Koha