| Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas C Pelletier, S Valero, J Inglada, N Champion, G Dedieu Remote Sensing of Environment 187, 156-168, 2016 | 230 | 2016 |
| Effect of training class label noise on classification performances for land cover mapping with satellite image time series C Pelletier, S Valero, J Inglada, N Champion, C Marais Sicre, G Dedieu Remote Sensing 9 (2), 173, 2017 | 119 | 2017 |
| Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019 | 111 | 2019 |
| Detection of irrigated crops from Sentinel-1 and Sentinel-2 data to estimate seasonal groundwater use in South India S Ferrant, A Selles, M Le Page, PA Herrault, C Pelletier, A Al-Bitar, ... Remote Sensing 9 (11), 1119, 2017 | 60 | 2017 |
| Inceptiontime: Finding alexnet for time series classification HI Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020 | 59 | 2020 |
| Proximity Forest: An effective and scalable distance-based classifier for time series B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ... Data Mining and Knowledge Discovery, 1-29, 2019 | 42 | 2019 |
| TS-CHIEF: a scalable and accurate forest algorithm for time series classification A Shifaz, C Pelletier, F Petitjean, GI Webb Data Mining and Knowledge Discovery 34 (3), 742-775, 2020 | 27 | 2020 |
| Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2 S Bousbih, M Zribi, C Pelletier, A Gorrab, Z Lili-Chabaane, N Baghdadi, ... Remote Sensing 11 (13), 1520, 2019 | 17 | 2019 |
| An assessment of image features and random forest for land cover mapping over large areas using high resolution satellite image time series C Pelletier, S Valero, J Inglada, G Dedieu, N Champion 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 7 | 2016 |
| Deep learning for the classification of Sentinel-2 image time series C Pelletier, GI Webb, F Petitjean IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 6 | 2019 |
| Filtering mislabeled data for improving time series classification C Pelletier, S Valero, J Inglada, G Dedieu, N Champion 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 6 | 2017 |
| Using Sentinel-2 image time series to map the state of Victoria, Australia C Pelletier, Z Ji, O Hagolle, E Morse-McNabb, K Sheffield, GI Webb, ... 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 5 | 2019 |
| Patch-based reconstruction of high resolution satellite image time series with missing values using spatial, spectral and temporal similarities S Valero, C Pelletier, M Bertolino 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 5 | 2016 |
| Exploring data quantity requirements for domain adaptation in the classification of satellite image time series B Lucas, C Pelletier, J Inglada, D Schmidt, GI Webb, F Petitjean 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 4 | 2019 |
| What can 100,000 books tell us about the international public library e-lending landscape? R Giblin, J Kennedy, C Pelletier, J Thomas, KG Weatherall, F Petitjean Information Research 24, 3, 2019 | 4 | 2019 |
| Primal sketch of image series with edge preserving filtering application to change detection M Stephane, P Charlotte 2015 8th International Workshop on the Analysis of Multitemporal Remote …, 2015 | 3 | 2015 |
| BreizhCrops: A Time Series Dataset for Crop Type Mapping M Rußwurm, C Pelletier, M Zollner, S Lefèvre, M Körner The International Archive of Photogrammetry, Remote Sensing, and Spatial …, 2020 | 2 | 2020 |
| New iterative learning strategy to improve classification systems by using outlier detection techniques C Pelletier, S Valero, J Inglada, G Dedieu, N Champion 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |
| A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping B Lucas, C Pelletier, D Schmidt, GI Webb, F Petitjean Machine Learning, 1-33, 2021 | 1 | 2021 |
| Cartographie de l'occupation des sols à partir de séries temporelles d'images satellitaires à hautes résolutions: identification et traitement des données mal étiquetées C Pelletier Université de Toulouse, Université Toulouse III-Paul Sabatier, 2017 | 1 | 2017 |
François PetitjeanAustralian GovernmentVerified email at monash.edu
