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Rémi Cresson
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Journal Articles
- 2019
- [j6]Rémi Cresson:
A Framework for Remote Sensing Images Processing Using Deep Learning Techniques. IEEE Geosci. Remote. Sens. Lett. 16(1): 25-29 (2019) - 2018
- [j5]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery. Remote. Sens. 10(11): 1746 (2018) - 2016
- [j4]Rémi Cresson, Gabriel Hautreux:
A Generic Framework for the Development of Geospatial Processing Pipelines on Clusters. IEEE Geosci. Remote. Sens. Lett. 13(11): 1706-1710 (2016) - 2015
- [j3]Rémi Cresson, Nathalie Saint-Geours:
Natural Color Satellite Image Mosaicking Using Quadratic Programming in Decorrelated Color Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(8): 4151-4162 (2015) - 2012
- [j2]Nicolas N. Baghdadi, Rémi Cresson, Eric Pottier, Maëlle Aubert, Mehrez Zribi, Andres Jacome, Sihem Benabdallah:
A Potential Use for the C-Band Polarimetric SAR Parameters to Characterize the Soil Surface Over Bare Agriculture Fields. IEEE Trans. Geosci. Remote. Sens. 50(10): 3844-3858 (2012) - 2010
- [j1]Nicolas N. Baghdadi, Rémi Cresson, Pierre Todoroff, Soizic Moinet:
Multitemporal Observations of Sugarcane by TerraSAR-X Images. Sensors 10(10): 8899-8919 (2010)
Conference and Workshop Papers
- 2021
- [c3]Alexia Cornic, Kenji Ose, Dino Ienco, Eric Barbe, Rémi Cresson:
Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales. IGARSS 2021: 5716-5719 - 2019
- [c2]Rémi Cresson, Dino Ienco, Raffaele Gaetano, Kenji Ose, Dinh Ho Tong Minh:
Optical image gap filling using deep convolutional autoencoder from optical and radar images. IGARSS 2019: 218-221 - [c1]Kenji Ose, Rémi Cresson:
Clear-Cuts Detection Services for The Monitoring Needs of the French Ministry of Agriculture. IGARSS 2019: 4284-4287
Informal and Other Publications
- 2022
- [i4]Rémi Cresson, Nicolas Narçon, Raffaele Gaetano, Aurore Dupuis, Yannick Tanguy, Stéphane May, Benjamin Commandré:
Comparison of convolutional neural networks for cloudy optical images reconstruction from single or multitemporal joint SAR and optical images. CoRR abs/2204.00424 (2022) - 2018
- [i3]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. CoRR abs/1806.11452 (2018) - [i2]Rémi Cresson:
A framework for remote sensing images processing using deep learning technique. CoRR abs/1807.06535 (2018) - 2016
- [i1]Rémi Cresson:
A generic framework for the development of geospatial processing pipelines on clusters. CoRR abs/1609.08893 (2016)
Coauthor Index
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