Open Access
2010 Plugin procedure in segmentation and application to hyperspectral image segmentation
Robin Girard
Electron. J. Statist. 4: 655-676 (2010). DOI: 10.1214/10-EJS567


In this work we give our contribution to the problem of segmentation with plug-in procedures. We propose general sufficient conditions under which plug in procedure are efficient. We also give an algorithm that satisfy these conditions. We apply this algorithm to hyperspectral images segmentation. Hyperspectral images are images that have both spatial and spectral coherence with thousands of spectral bands on each pixel. In the proposed procedure we combine a reduction dimension technique and a spatial regularization technique. This regularization is based on the mixlet modeling of Kolaczyck et al. [10].


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Robin Girard. "Plugin procedure in segmentation and application to hyperspectral image segmentation." Electron. J. Statist. 4 655 - 676, 2010.


Published: 2010
First available in Project Euclid: 2 August 2010

zbMATH: 1329.62280
MathSciNet: MR2678966
Digital Object Identifier: 10.1214/10-EJS567

Primary: 60K35

Keywords: dimensionality reduction , mixture model , penalized maximum likelihood estimation , segmentation

Rights: Copyright © 2010 The Institute of Mathematical Statistics and the Bernoulli Society

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