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Personal profile

External positions

Visiting Researcher, Boston University

23 Aug 201430 Jun 2015

Keywords

  • Q Science (General)
  • machine learning
  • deep learning
  • remote sensing
  • video processing
  • image processing

Fingerprint Dive into the research topics where Matthieu Molinier is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 8 Similar Profiles
ALOS Earth & Environmental Sciences
boreal forest Earth & Environmental Sciences
satellite imagery Earth & Environmental Sciences
imagery Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
forest inventory Earth & Environmental Sciences
PALSAR Earth & Environmental Sciences
Landsat Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2019

6 Citations (Scopus)

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Gill, E. & Molinier, M., 2019, In : ISPRS Journal of Photogrammetry and Remote Sensing. 151, p. 223-236 14 p.

Research output: Contribution to journalArticleScientificpeer-review

radar imagery
semantics
ecosystems
synthetic aperture radar
Synthetic aperture radar

Avoiding Overfitting When Applying Spectral-Spatial Deep Learning Methods on Hyperspectral Images with Limited Labels

Molinier, M. & Kilpi, J., 14 Nov 2019, Proceedings of IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE Institute of Electrical and Electronic Engineers , p. 5049-5052 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Labels
Pixels
Testing
Deep learning

Combining Deep Learning Methods for Retrieval of Forest Biomass & Structure

Molinier, M., Astola, H. & Mõttus, M., 16 May 2019, ESA Living Planet Symposium 2019. Milano: European Space Agency ESA

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

learning
artificial intelligence
biomass
reflectance
aboveground biomass
4 Citations (Scopus)

Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

Astola, H., Häme, T., Sirro, L., Molinier, M. & Kilpi, J., 15 Mar 2019, In : Remote Sensing of Environment. 223, p. 257-273 17 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Landsat
imagery
prediction
Mean square error
stem

Effect of cellulase family and structure on modification of wood fibres at high consistency

Rahikainen, J., Ceccherini, S., Molinier, M., Holopainen-Mantila, U., Reza, M., Väisänen, S., Puranen, T., Kruus, K., Vuorinen, T., Maloney, T., Suurnäkki, A. & Grönqvist, S., 30 May 2019, In : Cellulose. 26, 8, p. 5085-5103 19 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Cellulase
Wood
Fibers
Pulp
Enzymes

Prizes

MDPI Remote Sensing 2018 Outstanding Awards

Matthieu Molinier (Recipient), Dec 2018

Prize: Honorary award

remote sensing

Publons Peer Review Awards 2017

Matthieu Molinier (Recipient), Sep 2017

Prize: Honorary award

science
Earth Sciences
Peer Review
Publications
Peer Review
Publications
Earth Sciences
Peer Review
Publications