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» Variational methods for spectral unmixing of hyperspectral i...
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IGARSS
2010
13 years 5 months ago
Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation
In this paper, we investigate the use of the watershed transformation for integrating spatial and spectral information in the process of endmember extraction for spectral unmixing...
Maciel Zortea, Antonio J. Plaza
IBPRIA
2003
Springer
14 years 21 days ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
IGARSS
2009
13 years 5 months ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh
ICIP
2010
IEEE
13 years 5 months ago
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
Simon Arberet
ICIP
2009
IEEE
14 years 8 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...