We propose a new multispectral image classification method, based on a Markovian model, defined on the hierarchy of a multiscale region adjacency graph. The paper describes the main principles of our method and illustrates classification results on a set of artificial and remote sensing images, together with qualitative and quantitative comparisons with a variety of multi-and single-resolution Bayesian classification approaches.
Katartzis, A, Vanhamel, I & Sahli, H 2003, A Hierarchical Markovian Model for Multiscale Region-based Classification of Multispectral Images. in IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (a workshop honoring Prof. David Landgrebe), NASA Goddard Visitor Center, Greenbelt , USA., pp. 411-416, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09. <http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1295223&queryText%3DA+Hierarchical+Markovian+Model+for+Multiscale+Region-based+Classification+of+Multispectral+Images%26openedRefinements%3D*%26searchField%3DSearch+All>
Katartzis, A., Vanhamel, I., & Sahli, H. (2003). A Hierarchical Markovian Model for Multiscale Region-based Classification of Multispectral Images. In IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (pp. 411-416). IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (a workshop honoring Prof. David Landgrebe), NASA Goddard Visitor Center, Greenbelt , USA.. http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1295223&queryText%3DA+Hierarchical+Markovian+Model+for+Multiscale+Region-based+Classification+of+Multispectral+Images%26openedRefinements%3D*%26searchField%3DSearch+All
@inproceedings{d84cd9dedf8845a094a709c48e0a5ece,
title = "A Hierarchical Markovian Model for Multiscale Region-based Classification of Multispectral Images",
abstract = "We propose a new multispectral image classification method, based on a Markovian model, defined on the hierarchy of a multiscale region adjacency graph. The paper describes the main principles of our method and illustrates classification results on a set of artificial and remote sensing images, together with qualitative and quantitative comparisons with a variety of multi-and single-resolution Bayesian classification approaches.",
author = "Antonis Katartzis and Iris Vanhamel and Hichem Sahli",
note = "IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (a workshop honoring Prof. David Landgrebe), NASA Goddard Visitor Center, Greenbelt , USA.; Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
year = "2003",
language = "English",
isbn = "0-7803-8350-8",
pages = "411--416",
booktitle = "IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data",
publisher = "IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (a workshop honoring Prof. David Landgrebe), NASA Goddard Visitor Center, Greenbelt , USA.",
}