| 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 | 267 | 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 | 209 | 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 | 188 | 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 | 100 | 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 | 96 | 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 | 83 | 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 | 73 | 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 | 56 | 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 | 45 | 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 | 45 | 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 | 43 | 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 | 41 | 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 | 34 | 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 | 33 | 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 | 32 | 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 | 29 | 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 | 28 | 2021 |
| 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 | 24 | 2022 |
| 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 | 23 | 2017 |
| 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 | 21 | 2019 |
Tuomas HämeResearch Professor, VTT在 vtt.fi 的电子邮件经过验证
