Title
Crisp and Fuzzy Adaptive Spectral Predictions for Lossless and Near-Lossless Compression of Hyperspectral Imagery
Abstract
This letter presents an original approach that exploits classified spectral prediction for lossless/near-lossless hyperspectral-image compression. Minimum-mean-square-error spectral predictors are calculated, one for each small spatial block of each band, and are classified (clustered) to yield a user-defined number of prototype predictors that are capable of matching the spectral features of diff...
Year
DOI
Venue
2007
10.1109/LGRS.2007.900695
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Image coding,Hyperspectral imaging,Data compression,Decorrelation,Quantization,Entropy coding,Pulse modulation,Prototypes,Instruments,Infrared imaging
Computer vision,Decorrelation,Remote sensing,Fuzzy logic,Hyperspectral imaging,Pixel,Artificial intelligence,Data compression,Cluster analysis,Mathematics,Airborne visible/infrared imaging spectrometer,Lossless compression
Journal
Volume
Issue
ISSN
4
4
1545-598X
Citations 
PageRank 
References 
21
1.01
14
Authors
4
Name
Order
Citations
PageRank
Bruno Aiazzi127527.84
Luciano Alparone290180.27
Stefano Baronti355950.87
Cinzia Lastri4504.28