Florian Mouret
Orcid: 0000-0003-3719-6767
According to our database1,
Florian Mouret
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context.
CoRR, 2024
Mapping the Dieback of Several Tree Species in Centre of France Using Sentinel-2 Derived Indices : a Preliminary Analysis.
Proceedings of the IGARSS 2024, 2024
2023
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data.
IEEE Trans. Signal Process., 2023
2022
Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development.
Comput. Electron. Agric., July, 2022
Crop monitoring and detection of anomalous crop development at the parcel-level with multispectral and synthetic aperture radar satellite data. (Surveillance des cultures et détection d'anomalies sur parcelles agricoles à l'aide de données multispectrales et radar à synthèse d'ouverture).
PhD thesis, 2022
Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models.
IEEE Trans. Geosci. Remote. Sens., 2022
Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series.
Remote. Sens., 2021
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops.
CoRR, 2021
2020
Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops.
CoRR, 2020
2017
Music Feature Maps with Convolutional Neural Networks for Music Genre Classification.
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017