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Parameter estimation of multi-dimensional hidden Markov models - a scalable approach
Joshi, D.; Jia Li; Wang, J.Z.;
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Volume 3,
11-14 Sept. 2005
Page(s):III
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149-52
Abstract:
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorithm for multi-dimensional hidden Markov models. 2-D HMM has been applied to supervised aerial image classification and comparisons have been made with the first proposed estimation algorithm. An extensive parametric study has been performed with 3-D HMM and the scalability of the estimation algorithm has been discussed. Results show the great applicability of the explored algorithm to multi-dimensional HMM based image modeling applications.
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