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@PhdThesis{Monnet11c,
  Title                    = {Using airborne laser scanning for mountain forests mapping: support vector regression for stand parameters estimation and unsupervised training for treetop detection.},
  Author                   = {Monnet, Jean-Matthieu},
  School                   = {Université de Grenoble},
  Year                     = {2011},

  Abstract                 = {Numerous studies have shown the potential of airborne laser scanning for the mapping of forest resources. However, the application of this remote sensing technique to complex forests encountered in mountainous areas requires further investigation. In this thesis, the two main methods used to derive forest information are tested with airborne laser scanning data acquired in the French Alps, and adapted to the constraints of mountainous environments. In particular, a framework for unsupervised training of treetop detection is proposed, and the performance of support vector regression combined with dimension reduction for forest stand parameters estimation is evaluated.},
  Keywords                 = {Remote sensing, airborne laser scanning, LiDAR, forest mapping, support vector regression, unsupervised training, treetop detection},
  Owner                    = {jimbo},
  Timestamp                = {2014.05.15},
  Url                      = {http://tel.archives-ouvertes.fr/tel-00652698/fr/}
}

@Article{Monnet2014,
  Title                    = {Cross-Correlation of Diameter Measures for the Co-Registration of Forest Inventory Plots with Airborne Laser Scanning Data},
  Author                   = {Monnet, Jean-Matthieu and Mermin, Éric},
  Journal                  = {Forests},
  Year                     = {2014},
  Number                   = {9},
  Pages                    = {2307--2326},
  Volume                   = {5},

  Doi                      = {10.3390/f5092307},
  ISSN                     = {1999-4907},
  Owner                    = {jean-matthieu},
  Timestamp                = {2018.05.04},
  Url                      = {http://www.mdpi.com/1999-4907/5/9/2307}
}

@inproceedings{Monnet10,
  TITLE = {{Tree top detection using local maxima filtering: a parameter sensitivity analysis}},
  AUTHOR = {Monnet, Jean-Matthieu and Mermin, Eric and Chanussot, Jocelyn and Berger, Fr{\'e}d{\'e}ric},
  URL = {https://hal.archives-ouvertes.fr/hal-00523245},
  BOOKTITLE = {{10th International Conference on LiDAR Applications for Assessing Forest Ecosystems (Silvilaser 2010)}},
  ADDRESS = {Freiburg, Germany},
  HAL_LOCAL_REFERENCE = {D{\'e}partement Images et Signal},
  PAGES = {9 p.},
  YEAR = {2010},
  MONTH = Sep,
  KEYWORDS = {DETECTION ; ANALYSE DE SENSIBILITE ; LASER ; FORET ; CANOPEE ; LIDAR DETECTION ; ALGORITHME DE DETECTION ; TREE DETECTION},
  PDF = {https://hal.archives-ouvertes.fr/hal-00523245/file/GR2010-PUB00029356.pdf},
  HAL_ID = {hal-00523245},
  HAL_VERSION = {v1},
}

@article{Eysn15, 
  title={A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space}, 
  volume={6}, 
ISSN={1999-4907}, 
  url={http://dx.doi.org/10.3390/f6051721}, 
  DOI={10.3390/f6051721}, 
  number={12}, 
  journal={Forests}, 
  publisher={MDPI AG}, 
  author={Eysn, Lothar and Hollaus, Markus and Lindberg, Eva and Berger, Frédéric and Monnet, Jean-Matthieu and Dalponte, Michele and Kobal, Milan and Pellegrini, Marco and Lingua, Emanuele and Mongus, Domen and et al.}, 
  year={2015}, 
  month={May}, 
  pages={1721–1747}
  }