Silvia Valero
Orcid: 0000-0002-5001-9450
According to our database1,
Silvia Valero
authored at least 42 papers
between 2008 and 2024.
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Bibliography
2024
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series.
CoRR, 2024
2023
Physics-Driven Probabilistic Deep Learning for the Inversion of Physical Models With Application to Phenological Parameter Retrieval From Satellite Times Series.
IEEE Trans. Geosci. Remote. Sens., 2023
Detecting Land Cover Changes between Satellite Image Time Series by Exploiting Self-Supervised Representation Learning Capabilities.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2021
Synergy of Sentinel-1 and Sentinel-2 Imagery for Early Seasonal Agricultural Crop Mapping.
Remote. Sens., 2021
Unsupervised Learning of Low Dimensional Satellite Image Representations via Variational Autoencoders.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Assessing the Interest of a Multi-Modal Gap-Filling Strategy for Monitoring Changes in Grassland Parcels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2019
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2017
Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series.
Remote. Sens., 2017
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
New iterative learning strategy to improve classification systems by using outlier detection techniques.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions.
Remote. Sens., 2016
Early Detection of Summer Crops Using High Spatial Resolution Optical Image Time Series.
Remote. Sens., 2016
Patch-based reconstruction of high resolution satellite image time series with missing values using spatial, spectral and temporal similarities.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
An assessment of image features and random forest for land cover mapping over large areas using high resolution Satellite Image Time Series.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series.
Remote. Sens., 2015
Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery.
Remote. Sens., 2015
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2.
Remote. Sens., 2015
Object recognition in hyperspectral images using Binary Partition Tree representation.
Pattern Recognit. Lett., 2015
Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series.
IEEE Geosci. Remote. Sens. Lett., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Benchmarking of algorithms for crop type land-cover maps using Sentinel-2 image time series.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification.
Pattern Recognit. Lett., 2014
2013
IEEE Trans. Image Process., 2013
Proc. IEEE, 2013
Object recognition in urban hyperspectral images using Binary Partition Tree representation.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
River network detection on simulated swot images based on curvilinear denoising and morphological detection.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Hyperspectral image representation and Processing with Binary Partition Trees. (Arbre de partition binaire : Un nouvel outil pour la représentation hiérarchique et l'analyse des images hyperspectrales).
PhD thesis, 2011
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011
Improved Binary Partition Tree construction for hyperspectral images: Application to object detection.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images.
Pattern Recognit. Lett., 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data.
Proceedings of the International Conference on Image Processing, 2010
2009
Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images.
Proceedings of the International Conference on Image Processing, 2009
2008
Classification of basic roof types based on VHR optical data and digital elevation model.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008