Unsupervised Segmentation of Spectral Images with a Spatialized Gaussian Mixture Model and Model Selection
In this article, we describe a novel unsupervised spectral image segmentation algorithm. This algorithm extends the classical Gaussian Mixture Model-based unsupervised classification technique by incorporating a spatial flavor into the model: the spectra are modelized by a mixture of K clas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2014-03-01
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| Series: | Oil & Gas Science and Technology |
| Online Access: | http://dx.doi.org/10.2516/ogst/2014013 |