Matthieu Molinier
Citée par
Citée par
Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
RM Anwer, FS Khan, J van de Weijer, M Molinier, J Laaksonen
ISPRS Journal of Photogrammetry and Remote Sensing 138, 74-85, 2018
A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem
F Mohammadimanesh, B Salehi, M Mahdianpari, E Gill, M Molinier
ISPRS journal of photogrammetry and remote sensing 151, 223-236, 2019
Polarimetric SAR data in land cover mapping in boreal zone
A Lönnqvist, Y Rauste, M Molinier, T Häme
IEEE Transactions on Geoscience and Remote Sensing 48 (10), 3652-3662, 2010
Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps
M Molinier, J Laaksonen, T Hame
IEEE Transactions on Geoscience and Remote Sensing 45 (4), 861-874, 2007
Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region
H Astola, T Häme, L Sirro, M Molinier, J Kilpi
Remote Sensing of Environment 223, 257-273, 2019
Ortho-rectification and terrain correction of polarimetric SAR data applied in the ALOS/Palsar context
Y Rauste, A Lonnqvist, M Molinier, JB Henry, T Hame
2007 IEEE International Geoscience and Remote Sensing Symposium, 1618-1621, 2007
Relasphone—Mobile and participative in situ forest biomass measurements supporting satellite image mapping
M Molinier, CA López-Sánchez, T Toivanen, I Korpela, JJ Corral-Rivas, ...
Remote Sensing 8 (10), 869, 2016
3D-connected components analysis for traffic monitoring in image sequences acquired from a helicopter
M Molinier, T Häme, H Ahola
Scandinavian Conference on Image Analysis SCIA 2005, 141-150, 2005
Water quality analysis using an inexpensive device and a mobile phone
T Toivanen, S Koponen, V Kotovirta, M Molinier, P Chengyuan
Environmental Systems Research 2 (1), 1-6, 2013
Influence of residential land cover on childhood allergic and respiratory symptoms and diseases: Evidence from 9 European cohorts
E Parmes, G Pesce, CE Sabel, S Baldacci, R Bono, S Brescianini, ...
Environmental research 183, 108953, 2020
Landsat time series analysis for temperate forest cover change detection in the Sierra Madre Occidental, Durango, Mexico
A Novo-Fernández, S Franks, C Wehenkel, PM López-Serrano, ...
International journal of applied earth observation and geoinformation 73 …, 2018
Detecting changes in polarimetric SAR data with content-based image retrieval
M Molinier, J Laaksonen, Y Rauste, T Hame
2007 IEEE International Geoscience and Remote Sensing Symposium, 2390-2393, 2007
Automatic cloud and shadow detection in optical satellite imagery without using thermal bands—Application to Suomi NPP VIIRS images over Fennoscandia
E Parmes, Y Rauste, M Molinier, K Andersson, L Seitsonen
Remote Sensing 9 (8), 806, 2017
Traffic monitoring and modeling for intersection safety
P Pyykönen, M Molinier, GA Klunder
Proceedings of the 2010 IEEE 6th International Conference on Intelligent …, 2010
Effect of cellulase family and structure on modification of wood fibres at high consistency
J Rahikainen, S Ceccherini, M Molinier, U Holopainen-Mantila, M Reza, ...
Cellulose 26 (8), 5085-5103, 2019
Citizen Science for Earth Observation: Applications in Environmental Monitoring and Disaster Response
V Kotovirta, T Toivanen, R Tergujeff, T Häme, M Molinier
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2015
Self-organizing map application for retrieval of man-made structures in remote sensing data
M Molinier, J Laaksonen, J Ahola, T Häme
Proc. ESA-EUSC Workshop on Image Information Mining-Theory and Application …, 2005
Comparison and evaluation of polarimetric change detection techniques in aerial SAR data.
M Molinier, Y Rauste
2007 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS …, 2007
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion
J Li, Z Wu, Z Hu, J Zhang, M Li, L Mo, M Molinier
ISPRS Journal of Photogrammetry and Remote Sensing 166, 373-389, 2020
Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels
M Molinier, J Kilpi
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
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