16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
A Gauss-Markov Model for Hyperspectral Texture Analysis of Urban Areas
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
In this paper we tackle the problem of texture segmentation using a joint spectral and spatial analysis of pixel distribution. Hyperspectral images are considered and using a Markovian model we develop a vectorial approach for this image type. A classification algorithm using this model has been implemented for extracting and classifying urban areas. Results obtained from AVIRIS images are shown.
Citation:
Guillaume Rellier, Xavier Descombes, Josiane Zerubia, Frédéric Falzon, "A Gauss-Markov Model for Hyperspectral Texture Analysis of Urban Areas," icpr, vol. 1, pp.10692, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002