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Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest.

P. Du, J. Xia, J. Chanussot, and X. He. IGARSS, page 174-177. IEEE, (2012)

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Spatio-temporal cellular automata-based filtering for image sequence denoising: Application to fluoroscopic sequences.B. Torres, M. Veganzones, J. Chanussot, C. Amiot, A. Prieto, and R. Duro. ICIP, page 548-552. IEEE, (2013)Binary partition trees-based robust adaptive hyperspectral RX anomaly detection.M. Veganzones, J. Frontera-Pons, F. Pascal, J. Ovarlez, and J. Chanussot. ICIP, page 5077-5081. IEEE, (2014)Spectral compression of hyperspectral images by means of nonlinear principal component analysis decorrelation.G. Licciardi, J. Chanussot, and A. Piscini. ICIP, page 5092-5096. IEEE, (2014)Special Issue on Machine Learning for Signal Processing.J. Chanussot, and C. Jutten. Signal Processing Systems, 65 (3): 287-288 (2011)Watershed approaches for color image segmentation.J. Chanussot, and P. Lambert. NSIP, page 129-133. Bogaziçi University Printhouse, (1999)A time-distributed phase space histogram for detecting transient signals.F. Birleanu, C. Ioana, A. Serbanescu, and J. Chanussot. ICASSP, page 3844-3847. IEEE, (2011)Practical use of receiver operating characteristic analysis to assess the performances of defect detection algorithms.Y. Meur, J. Vignolle, and J. Chanussot. J. Electronic Imaging, 17 (3): 031104 (2008)Object recognition in hyperspectral images using Binary Partition Tree representation.S. Valero, P. Salembier, and J. Chanussot. Pattern Recognition Letters, (2015)QNR Optimization based Pansharpening.M. Khan, L. Alparone, and J. Chanussot. IGARSS (5), page 73-76. IEEE, (2008)River network detection on simulated swot images based on curvilinear denoising and morphological detection.S. Grosdidier, S. Valero, J. Chanussot, and R. Fjørtoft. IGARSS, page 5454-5457. IEEE, (2012)

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Disambiguation of "Chanussot, Jocelyn"

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Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest.

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PUMA

Disambiguation of "Chanussot, Jocelyn"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest.

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Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest.