Matthieu Molinier
Orcid: 0000-0002-2656-001X
According to our database1,
Matthieu Molinier
authored at least 35 papers
between 2005 and 2024.
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Bibliography
2024
Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
A Lightweight Deep Learning-Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multiscale Spectral and Spatial Features.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
2021
Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery.
Remote. Sens., 2021
Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest.
Remote. Sens., 2021
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features.
CoRR, 2021
Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Self-Attentive Generative Adversarial Network for Cloud Detection in High Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2020
2019
Providing Reference Forest Biomass Data for EO Imagery : A Comparison of Four in-Situ Relascope Measuring Devices In Asturias, Spain.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Landsat time series analysis for temperate forest cover change detection in the Sierra Madre Occidental, Durango, Mexico.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Timely And Semi-Automatic Detection of Forest Logging Events in Boreal Forest Using All Available Landsat Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Automatic Cloud and Shadow Detection in Optical Satellite Imagery Without Using Thermal Bands - Application to Suomi NPP VIIRS Images over Fennoscandia.
Remote. Sens., 2017
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification.
CoRR, 2017
2016
Relasphone - Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping.
Remote. Sens., 2016
2015
Advances in combining optical citizen observations on water quality with satellite observations as part of an environmental monitoring system.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Participative forest in-situ measurements for biomass mapping in satellite images over Durango State, Mexico.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Enabling intelligent copernicus services for carbon and water balance modeling of boreal forest ecosystems - North state.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Relasphone - Mobile phone and interactive applications to collect ground reference biomass data for satellite image analysis.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2010
IEEE Trans. Geosci. Remote. Sens., 2010
2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Comparison of Polarimetric Change Detection Methods on ALOS PALSAR Images over Finland.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps.
IEEE Trans. Geosci. Remote. Sens., 2007
ERCIM News, 2007
Ortho-rectification and terrain correction of polarimetric SAR data applied in the ALOS/Palsar context.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Comparison and evaluation of polarimetric change detection techniques in aerial SAR data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2006
A Self-Organizing Map Framework for Detection of Man-Made Structures and Changes in Satellite Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
Separation of Coniferous Species in Boreal Forest Using Spectral and Contextual Features from Ikonos Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2005
3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005