Publications du MATIS
Auteur : Clément Dechesne

Articles de revues avec comité de lecture

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 126 (2017), pp.129–145, 2017.  

M. Fauvel, C. Dechesne, A. Zullo, F. Ferraty. Fast forward feature selection of hyperspectral images for classification with gaussian mixture models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8(6), pp. 2824-2831, 2015.  

Articles de conférences avec comité de lecture

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. How to combine LIDAR and very high resolution multispectral images for forest stand segmentation?. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, USA, July 2017.  

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Semantic segmentation of forest stands of pure specie as a global optimisation problem. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.  

C. Dechesne, C. Mallet, A. Le_Bris, V. Gouet-Brunet. Segmentation sémantique de données de télédétection multimodale : application aux peuplements forestiers. ORASIS, Colleville-sur-Mer, France, Juin 2017.  

C. Dechesne, C. Mallet, A. Le Bris, V. Gouet-Brunet, A. Hervieu. Forest stand segmentation using airborne Lidar data and very high resolution multispectral imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 41 (B3), pp 207-214 , ISPRS Congress, Prague, Juillet 2016.  

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