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Silvia Valero
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2020 – today
- 2024
- [j16]Iris Dumeur
, Silvia Valero
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4350-4367 (2024) - [i1]Iris Dumeur, Silvia Valero, Jordi Inglada:
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series. CoRR abs/2407.08448 (2024) - 2023
- [j15]Yoël Zérah
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. 61: 1-23 (2023) - [c25]Iris Dumeur
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series. IGARSS 2023: 642-645 - [c24]Adebowale Daniel Adebayo
Detecting Land Cover Changes between Satellite Image Time Series by Exploiting Self-Supervised Representation Learning Capabilities. IGARSS 2023: 7168-7171 - 2021
- [j14]Silvia Valero, Ludovic Arnaud
Synergy of Sentinel-1 and Sentinel-2 Imagery for Early Seasonal Agricultural Crop Mapping. Remote. Sens. 13(23): 4891 (2021) - [c23]Silvia Valero, Ferran Agulló
Unsupervised Learning of Low Dimensional Satellite Image Representations via Variational Autoencoders. IGARSS 2021: 2987-2990 - [c22]Anatol Garioud
Assessing the Interest of a Multi-Modal Gap-Filling Strategy for Monitoring Changes in Grassland Parcels. IGARSS 2021: 3105-3108
2010 – 2019
- 2019
- [c21]Laura Dingle Robertson
Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems. IGARSS 2019: 6231-6234 - [c20]Silvia Valero, Ludovic Arnaud, Milena Planells, Eric Ceschia, Gérard Dedieu:
Sentinel's Classifier Fusion System for Seasonal Crop Mapping. IGARSS 2019: 6243-6246 - [c19]Anatol Garioud
Challenges in Grassland Mowing Event Detection with Multimodal Sentinel Images. MultiTemp 2019: 1-4 - 2017
- [j13]Charlotte Pelletier
Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series. Remote. Sens. 9(2): 173 (2017) - [c18]Charlotte Pelletier
New iterative learning strategy to improve classification systems by using outlier detection techniques. IGARSS 2017: 3676-3679 - [c17]Charlotte Pelletier
Filtering mislabeled data for improving time series classification. MultiTemp 2017: 1-4 - 2016
- [j12]Silvia Valero, David Morin
Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions. Remote. Sens. 8(1): 55 (2016) - [j11]Claire Marais-Sicre, Jordi Inglada, Rémy Fieuzal, Frédéric Baup
Early Detection of Summer Crops Using High Spatial Resolution Optical Image Time Series. Remote. Sens. 8(7): 591 (2016) - [c16]Silvia Valero, Charlotte Pelletier
Patch-based reconstruction of high resolution satellite image time series with missing values using spatial, spectral and temporal similarities. IGARSS 2016: 2308-2311 - [c15]Charlotte Pelletier
An assessment of image features and random forest for land cover mapping over large areas using high resolution Satellite Image Time Series. IGARSS 2016: 3338-3341 - 2015
- [j10]Rémi Flamary
Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. IEEE Geosci. Remote. Sens. Lett. 12(5): 953-957 (2015) - [j9]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Object recognition in hyperspectral images using Binary Partition Tree representation. Pattern Recognit. Lett. 56: 45-51 (2015) - [j8]Jordi Inglada
Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery. Remote. Sens. 7(9): 12356-12379 (2015) - [j7]Nicolas Matton
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. 7(10): 13208-13232 (2015) - [j6]Sophie Bontemps
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2. Remote. Sens. 7(12): 16062-16090 (2015) - [c14]Silvia Valero, David Morin
Processing Sentinel-2 image time series for developing a real-time cropland mask. IGARSS 2015: 2731-2734 - [c13]Jordi Inglada, Marcela Arias, Benjamin Tardy, David Morin
Benchmarking of algorithms for crop type land-cover maps using Sentinel-2 image time series. IGARSS 2015: 3993-3996 - [c12]Sophie Bontemps, Marcela Arias, Cosmin Cara, Gérard Dedieu, Eric Guzzonato, Olivier Hagolle
"Sentinel-2 for agriculture": Supporting global agriculture monitoring. IGARSS 2015: 4185-4188 - 2014
- [j5]Eysteinn Már Sigurðsson, Silvia Valero, Jón Atli Benediktsson
Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification. Pattern Recognit. Lett. 47: 164-171 (2014) - 2013
- [j4]Alberto Alonso-González
Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proc. IEEE 101(3): 723-747 (2013) - [j3]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Hyperspectral Image Representation and Processing With Binary Partition Trees. IEEE Trans. Image Process. 22(4): 1430-1443 (2013) - [c11]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Object recognition in urban hyperspectral images using Binary Partition Tree representation. IGARSS 2013: 4098-4101 - [c10]Silvia Valero, Pietro Ceccato, Walter E. Baethgen
Identification of agricultural crops in early stages using remote sensing images. IGARSS 2013: 4229-4232 - 2012
- [j2]Sascha Klemenjak, Björn Waske
Automatic Detection of Rivers in High-Resolution SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1364-1372 (2012) - [c9]Samuel Grosdidier, Silvia Valero, Jocelyn Chanussot, Roger Fjørtoft:
River network detection on simulated swot images based on curvilinear denoising and morphological detection. IGARSS 2012: 5454-5457 - [c8]Sascha Klemenjak, Björn Waske, Silvia Valero, Jocelyn Chanussot:
Unsupervised river detection in RapidEye data. IGARSS 2012: 6860-6863 - 2011
- [b1]Silvia Valero:
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). Grenoble Alpes University, France, 2011 - [c7]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Hyperspectral image segmentation using Binary Partition Trees. ICIP 2011: 1273-1276 - [c6]Silvia Valero, Philippe Salembier, Jocelyn Chanussot, Carles M. Cuadras:
Improved Binary Partition Tree construction for hyperspectral images: Application to object detection. IGARSS 2011: 2515-2518 - [c5]Jón Atli Benediktsson
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees. ISMM 2011: 306-319 - 2010
- [j1]Silvia Valero, Jocelyn Chanussot, Jón Atli Benediktsson
Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images. Pattern Recognit. Lett. 31(10): 1120-1127 (2010) - [c4]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data. ICIP 2010: 2565-2568 - [c3]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
New hyperspectral data representation using binary partition tree. IGARSS 2010: 80-83
2000 – 2009
- 2009
- [c2]Silvia Valero, Jocelyn Chanussot, Jón Atli Benediktsson
Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images. ICIP 2009: 3725-3728 - 2008
- [c1]Silvia Valero, Jocelyn Chanussot, Philippe Guéguen:
Classification of basic roof types based on VHR optical data and digital elevation model. IGARSS (4) 2008: 149-152
Coauthor Index
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