Spectral transformation based on nonlinear principal component analysis for dimensionality reduction of hyperspectral images
Author:
Affiliation:
1. Sigmaphy, GIPSA-Lab, Grenoble, France
2. Hypatia Research Consortium , Rome, Italy
3. Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
Funder
Agence Nationale de la Recherche
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2018.1441670
Reference41 articles.
1. Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding
2. Constant SNR, Rate Control, and Entropy Coding for Predictive Lossy Hyperspectral Image Compression
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