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Publications ~ Classification Tuesday, October 17th 2017, 16:48

Publications about Classification

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12 Conference articles
1 - Synthetic Aperture Radar Image Classification via Mixture Approaches.
V. Krylov and J. Zerubia. In Proc. IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS), Tel Aviv, Israel, November 2011.
Keywords : Synthetic Aperture Radar (SAR), remote sensing, high resolution, Classification, finite mixture models, generalized gamma distribution.
Copyright : IEEE
2 - SAR image classification with non- stationary multinomial logistic mixture of amplitude and texture densities.
K. Kayabol and A. Voisin and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), pages 173-176, Brussels, Belgium, September 2011.
Keywords : High resolution SAR images, Classification, Texture, Multinomial logistic, Classification EM algorithm.
3 - Classification bayésienne supervisée d’images RSO de zones urbaines à très haute résolution.
A. Voisin and V. Krylov and J. Zerubia. In Proc. GRETSI Symposium on Signal and Image Processing, Bordeaux, September 2011.
Keywords : SAR Images, Classification, Urban areas, Markov Fields, Hierarchical models.
4 - Morphological road segmentation in urban areas from high resolution satellite images.
R. Gaetano and J. Zerubia and G. Scarpa and G. Poggi. In International Conference on Digital Signal Processing, Corfu, Greece, July 2011.
Keywords : Segmentation, Classification, skeletonization , pattern recognition, shape analysis.
5 - Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields.
V. Krylov and G. Moser and S.B. Serpico and J. Zerubia. In Proc. of Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), Vol. 1305, pages 319-326, Chamonix, France, July 2010.
Keywords : multichannel SAR, Classification, probability density function estimation, Markov random field, copula.
Copyright : AIP
6 - Unsupervised One-Class SVM Using a Watershed Algorithm and Hysteresis Thresholding to Detect Burnt Areas.
O. Zammit and X. Descombes and J. Zerubia. In Proc. International Conference on Pattern Recognition and Image Analysis (PRIA), Nizhny Novgorod, Russia, September 2008.
Keywords : Classification, Segmentation, Support Vector Machines, Burnt areas, Forest fires, Satellite images.
Copyright :
7 - Combining One-Class Support Vector Machines and hysteresis thresholding: application to burnt area mapping.
O. Zammit and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, August 2008.
Note : to appear.
Keywords : Classification, Satellite images, Support Vector Machines, Burnt areas, Forest fires, Clustering.
Copyright :
8 - Indexing of mid-resolution satellite images with structural attributes.
A. Bhattacharya and M. Roux and H. Maitre and I. H. Jermyn and X. Descombes and J. Zerubia. In The International Society for Photogrammetry and Remote Sensing, Beijing, China, July 2008.
Keywords : Landscape, Segmentation, Features, Extraction, Classification, Modelling.
9 - Mixing Geometric and Radiometric Features for Change Classification.
A. Fournier and X. Descombes and J. Zerubia. In Proc. SPIE Symposium on Electronic Imaging, San Jose, USA, January 2008.
Keywords : Change detection, directional Statistics, polygonal approximation, Classification.
Copyright : Copyright 2008 SPIE and IS&T. This paper was published in the proceedings of IS&T/SPIE 20th Annual Symposium on Electronic Imaging and is made available as an electronic reprint (preprint) with permission of SPIE and IS&T. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
10 - Apprentissage non supervisé des SVM par un algorithme des K-moyennes entropique pour la détection de zones brûlées.
O. Zammit and X. Descombes and J. Zerubia. In Proc. GRETSI Symposium on Signal and Image Processing, Troyes, France, September 2007.
Keywords : Satellite images, Forest fires, Burnt areas, Classification, Support Vector Machines, Learning base.

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