TY  - BOOK
AU  - Motta,Giovanni
AU  - Rizzo,Francesco
AU  - Storer,James A.
ED  - SpringerLink (Online service)
TI  - Hyperspectral Data Compression
SN  - 9780387286006
AV  - QA75.5-76.95 
U1  - 025.04 23
PY  - 2006///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Information storage and retrieval systems
KW  - Computer vision
KW  - Computer Science
KW  - Information Storage and Retrieval
KW  - Data Storage Representation
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Image Processing and Computer Vision
N1  - 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
N2  - 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.
UR  - http://dx.doi.org/10.1007/0-387-28600-4
ER  -