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» Compression of Hyperspectral Images with LVQ-SPECK
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ACSC
2006
IEEE
13 years 11 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...
SSIAI
2002
IEEE
13 years 9 months ago
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard
We present results quantifying the exploitability of compressed remote sensing imagery. The performance of various feature extraction and classification tasks is measured on hype...
Mihaela D. Pal, Christopher M. Brislawn, Steven P....
ICASSP
2011
IEEE
12 years 8 months ago
Low-complexity predictive lossy compression of hyperspectral and ultraspectral images
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
Andrea Abrardo, Mauro Barni, Enrico Magli
IJHPCA
2008
104views more  IJHPCA 2008»
13 years 4 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
DCC
2008
IEEE
14 years 4 months ago
Compression of Hyperspectral Images with LVQ-SPECK
We discuss the use of lattice vector quantizers in conjunction with a quadtree-based sorting algorithm for the compression of multidimensional data sets, as encountered, for examp...
Alessandro J. S. Dutra, William A. Pearlman, Eduar...