Matthieu Molinier
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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, 1-6, 2013
A lightweight deep learning-based cloud detection method for Sentinel-2A imagery fusing multiscale spectral and spatial features
J Li, Z Wu, Z Hu, C Jian, S Luo, L Mou, XX Zhu, M Molinier
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2021
Deep neural networks with transfer learning for forest variable estimation using sentinel-2 imagery in boreal forest
H Astola, L Seitsonen, E Halme, M Molinier, A Lönnqvist
Remote Sensing 13 (12), 2392, 2021
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, 5085-5103, 2019
Self-attentive generative adversarial network for cloud detection in high resolution remote sensing images
Z Wu, J Li, Y Wang, Z Hu, M Molinier
IEEE Geoscience and Remote Sensing Letters 17 (10), 1792-1796, 2019
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
Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery
J Li, Z Wu, Z Hu, Z Li, Y Wang, M Molinier
Remote Sensing 13 (1), 157, 2021
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
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
J Li, Z Wu, Q Sheng, B Wang, Z Hu, S Zheng, G Camps-Valls, M Molinier
Remote Sensing of Environment 280, 113197, 2022
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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