Textural features from wavelets on graphs for very high resolution panchromatic Pléiades image classification
DOI:
https://doi.org/10.52638/rfpt.2014.91Keywords:
Ondelettes sur graphes, Image Pléiades de très haute résolution spatiale, Représentation éparse d'image, Texture, Classification non-supervisée d'imageAbstract
Dans cet article, nous proposons une méthode de caractérisation locale des textures des images de très haute résolution spatiale, dans lesquelles l'hypothèse de stationnarité est peu respectée.Une approche ponctuelle (i.e. non-dense) est d'abord introduite pour la représentation de l'image en utilisant un ensemble de pixels d'intétêt au lieu de la totalité des pixels de l'image. Un graphe pondéré est ensuite construit à partir de ces pixels représentatifs. Le signal de texture, porté sur ce graphe, est ensuite analysé à travers une transformée en ondelettes sur graphe. La classification en texture, implémentée ici de façon non-supervisée, est donc réalisée par la classification des coefficients d'ondelettes sur le graphe. Les expérimentations appliquées aux images panchromatiques Pléiades nous donnent des résultats très prometteurs avec une bonne précision de classification tout en gardant une compléxité intéressante.Downloads
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Society. Series C (Applied Statistics) (1), 100—108.
Leonardi, N., Ville, D. V. D., March 2011. Wavelet frames on
graphs defined by fMRI functional connectivity. In : IEEE International Symposium on Biomedical Imaging.
Mardia, K. V., Jupp, P. E., 2000. Directional statistics. John Wiley and Sons Ltd.
Narang, S. K., Chao, Y. H., Ortega, A., 2012. Graph-wavelet filterbanks for edge-aware image processing. In : Statistical Signal Processing Workshop. pp. 141—144.
Shuman, D. I., Narang, S. K., Frossard, P., Ortega, A., Vandergheynst, P., May 2013. The emerging field of signal processing on graphs : Extending high-dimensional data analysis to networks and other irregular domains. IEEE Signal Processing Society 30 (3), 83—98.
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Published
2014-09-05
How to Cite
Pham, M. T., Mercier, G., & Michel, J. (2014). Textural features from wavelets on graphs for very high resolution panchromatic Pléiades image classification. Revue Française de Photogrammétrie et de Télédétection, (208), 131–136. https://doi.org/10.52638/rfpt.2014.91
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