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A Hierarchical Markovian Model for Multiscale Region-based Classification of Multispectral Images Host Publication: Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet Authors: A. Katartzis, I. Vanhamel and H. Sahli 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 Publication Year: 2003 Number of Pages: 4 ISBN: 0-7803-8350-8
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. External Link.
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