Publications du MATIS
Auteur : Sébastien Giordano

2018

S. Bailly, S. Giordano, L. Landrieu, N. Chehata. Temporal Structured Classification Using Sentinel Image Time Series for Crop Type Mapping. in Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 2018.  

S. Giordano, A. Le_Bris, C. Mallet. Toward Automatic Georeferencing of Archival Aerial Images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018.  

S. Giordano, G. Mercier, J.-P. Rudant. Unmixing polarimetric radar images based on land cover type identified by higher-resolution optical data before target decomposition: Application to forest and bare soil. IEEE Transactions on Geoscience and Remote Sensing, 2018.  

2017

S. Giordano, A. Le_Bris, C. Mallet. Fully Automatic Analysis of Archival Aerial Images Current status and challenges. JURSE 2017, Dubai, UAE, March 2017.  

2015

S. Giordano, G. Mercier, J.-P. Rudant. Assessment of the Relevance of Information Derived from the Unmixing of Polarimetric Radar Images. Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milano, Italy, July 2015.  

S. Giordano. Démélange d’images radar polarimétrique par séparation thématique de sources. Thèse de doctorat de l’Université Paris Est, Novembre 2015.  

2014

S. Giordano, G. Mercier, J.-P. Rudant. Unmixing polarimetric radar images based on land cover type before target decomposition . Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Québec City, Canada, July 2014.  

2012

S. Giordano, G. Mercier, J.-P. Rudant. A proposed framework to unmix scattering mechanisms of polarimetric radar images using very high resolution optical images. ISPRS Annals of Photogrammetry, Remote Sensing and the Spatial Information Sciences, vol. 1 (7), pp. 279-284, Melbourne, Australie, Août 2012.  

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