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2020 – today
- 2023
[c8]Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos:
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. NeurIPS 2023- [i5]Anatol Garioud, Apolline De Wit, Marc Poupée, Marion Valette, Sébastien Giordano, Boris Wattrelos:
FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery. CoRR abs/2305.14467 (2023) - [i4]Anatol Garioud, Nicolas Gonthier, Loïc Landrieu, Apolline De Wit, Marion Valette, Marc Poupée, Sébastien Giordano, Boris Wattrelos:
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery. CoRR abs/2310.13336 (2023) - 2022
- [i3]Anatol Garioud, Stéphane Peillet, Eva Bookjans, Sébastien Giordano, Boris Wattrelos:
FLAIR #1: semantic segmentation and domain adaptation dataset. CoRR abs/2211.12979 (2022) - 2020
- [c7]Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
:
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. CVPR 2020: 12322-12331
2010 – 2019
- 2019
- [c6]Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata:
Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. IGARSS 2019: 6247-6250 - [c5]Anatol Garioud, Sébastien Giordano, Silvia Valero, Clément Mallet:
Challenges in Grassland Mowing Event Detection with Multimodal Sentinel Images. MultiTemp 2019: 1-4 - [i2]Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata:
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. CoRR abs/1901.10503 (2019) - [i1]Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata:
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. CoRR abs/1911.07757 (2019) - 2018
- [j1]Sébastien Giordano, Grégoire Mercier, Jean-Paul 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 Trans. Geosci. Remote. Sens. 56(10): 5850-5862 (2018) - [c4]Simon Bailly, Sébastien Giordano, Loïc Landrieu, Nesrine Chehata:
Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. IGARSS 2018: 1950-1953 - 2017
- [c3]Sébastien Giordano, Arnaud Le Bris, Clément Mallet:
Fully automatic analysis of archival aerial images current status and challenges. JURSE 2017: 1-4 - 2015
- [b1]Sébastien Giordano:
Démélange d'images radar polarimétrique par séparation thématique de sources. (Unmixing polarimetric radar images based on land cover type). University of Paris-Est, France, 2015 - [c2]Sébastien Giordano, Grégoire Mercier, Jean-Paul Rudant:
Assessment of the relevance of information derived from the unmixing of polarimetric radar images. IGARSS 2015: 3778-3781 - 2014
- [c1]Sébastien Giordano, Grégoire Mercier, Jean-Paul Rudant:
Unmixing polarimetric radar images based on land cover type before target decomposition. IGARSS 2014: 2790-2793
Coauthor Index
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