ETSE
Centre
University of Lausanne
Lausana, SuizaPublicaciones en colaboración con investigadores/as de University of Lausanne (18)
2013
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Multi-sensor change detection based on nonlinear canonical correlations
International Geoscience and Remote Sensing Symposium (IGARSS)
2012
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Unsupervised change detection with kernels
IEEE Geoscience and Remote Sensing Letters, Vol. 9, Núm. 6, pp. 1026-1030
2011
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A survey of active learning algorithms for supervised remote sensing image classification
IEEE Journal on Selected Topics in Signal Processing, Vol. 5, Núm. 3, pp. 606-617
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Structured output SVM for remote sensing image classification
Journal of Signal Processing Systems, Vol. 65, Núm. 3, pp. 301-310
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Unsupervised change detection in the feature space using kernels
International Geoscience and Remote Sensing Symposium (IGARSS)
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Urban Image Classification With Semisupervised Multiscale Cluster Kernels
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, Núm. 1, pp. 65-74
2010
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Cluster-based active learning for compact image classification
International Geoscience and Remote Sensing Symposium (IGARSS)
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Estimating biophysical variable dependences with kernels
International Geoscience and Remote Sensing Symposium (IGARSS)
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Learning relevant image features with multiple-kernel classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, Núm. 10, pp. 3780-3791
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Multisource composite kernels for urban-image classification
IEEE Geoscience and Remote Sensing Letters, Vol. 7, Núm. 1, pp. 88-92
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Unsupervised change detection by kernel clustering
Proceedings of SPIE - The International Society for Optical Engineering
2009
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Cluster Kernels for Semisupervised Classification of VHR Urban Images
2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3
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Cluster kernels for semisupervised classification of VHR urban images
2009 Joint Urban Remote Sensing Event
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Learning the relevant image features with multiple kernels
International Geoscience and Remote Sensing Symposium (IGARSS)
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Recent advances in remote sensing image processing
Proceedings - International Conference on Image Processing, ICIP
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STRUCTURED OUTPUT SVM FOR REMOTE SENSING IMAGE CLASSIFICATION
2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING
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Semisupervised remote sensing image classification with cluster kernels
IEEE Geoscience and Remote Sensing Letters, Vol. 6, Núm. 2, pp. 224-228
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Structured output SVM for remote sensing image classification
Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009