Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Gilles Rabatel"'
Publikováno v:
Journal of Chemometrics
Journal of Chemometrics, Wiley, 2020, 34 (2), ⟨10.1002/cem.3164⟩
Journal of Chemometrics, Wiley, 2020, 34 (2), ⟨10.1002/cem.3164⟩
International audience; Spectrometric and analytical techniques in general collect multivariate signals from chemical or biological materials by means of a specific measurement instrumentation, usually in order to characterize or classify them throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a601b86b323b139919085c6d875c493
https://doi.org/10.1002/cem.3164
https://doi.org/10.1002/cem.3164
Autor:
Sylvain Jay, Gilles Rabatel, Alexis Comar, Dan Dutartre, Frédéric Baret, Nathalie Gorretta, Julien Morel, Fabienne Maupas, Ryad Bendoula
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2017, 198, pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, Elsevier, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, Elsevier, 2017, 198, pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, Elsevier, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]INSPIRE; Accurate estimation of leaf chlorophyll content (Cab) from remote sensing is of tremendous significance to monitor the physiological status of vegetation or to estimate primary production. Many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a28f656d9faffcece5e1c26f3b026b19
https://doi.org/10.1016/j.rse.2017.06.008
https://doi.org/10.1016/j.rse.2017.06.008
Autor:
Martin Ecarnot, Gilles Rabatel, Nathalie Al Makdessi, Pierre Roumet, Nathalie Gorretta, Pierre-Antoine Jean
Publikováno v:
Field Crops Research
Field Crops Research, Elsevier, 2017, 205, pp.95-105. ⟨10.1016/j.fcr.2017.02.001⟩
Field Crops Research, Elsevier, 2017, 205, pp.95-105. ⟨10.1016/j.fcr.2017.02.001⟩
AGAP : équipe GE2pop (Génomique évolutive et gestion des populations); Light propagation modeling in 3-dimensional virtual scenes has been successfully applied to many fields, including plant canopies. However, its application to detailed analyses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2023e493bf783ab563bf96530bca6af7
https://doi.org/10.1016/j.fcr.2017.02.001
https://doi.org/10.1016/j.fcr.2017.02.001
Autor:
George Kaplanis, César Fernández-Quintanilla, Pablo Gonzalez-de-Santos, Michael Brandstoetter, Manuel Pérez-Ruiz, Francisca López-Granados, Jaime del Cerro, Constantino Valero, Gilles Rabatel, Benoit Debilde, Slobodanka Tomic, Stefania Pedrazzi, Marco Vieri, Andrea Peruzzi, Angela Ribeiro, Gonzalo Pajares
Publikováno v:
Precision Agriculture
Precision Agriculture, Springer Verlag, 2017, 18, pp.574-614. ⟨10.1007/s11119-016-9476-3⟩
Precision Agriculture, ISSN 1573-1618, 2016-10-20
Archivo Digital UPM
Universidad Politécnica de Madrid
Digital.CSIC. Repositorio Institucional del CSIC
instname
Precision Agriculture, Springer Verlag, 2017, 18, pp.574-614. ⟨10.1007/s11119-016-9476-3⟩
Precision Agriculture, ISSN 1573-1618, 2016-10-20
Archivo Digital UPM
Universidad Politécnica de Madrid
Digital.CSIC. Repositorio Institucional del CSIC
instname
González-de-Santos, Pablo et al.
Feeding the growing global population requires an annual increase in food production. This requirement suggests an increase in the use of pesticides, which represents an unsustainable chemical load for the envir
Feeding the growing global population requires an annual increase in food production. This requirement suggests an increase in the use of pesticides, which represents an unsustainable chemical load for the envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceab813555e0413f8dd569836f8ed2e9
https://doi.org/10.1007/s11119-016-9476-3
https://doi.org/10.1007/s11119-016-9476-3
Publikováno v:
Chemometrics and Intelligent Laboratory Systems
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2015, 146, pp.221-231. ⟨10.1016/j.chemolab.2015.05.021⟩
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2015, 146, pp.221-231. ⟨10.1016/j.chemolab.2015.05.021⟩
The objective of this paper is two-fold. First, some theoretical aspects of dimension reduction in the context of supervised classification or discrimination are given. The emphasis is put on the different subspaces that can be defined in this contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::527d98ba715f297fa238df7e8e46d202
https://doi.org/10.1016/j.chemolab.2015.05.021
https://doi.org/10.1016/j.chemolab.2015.05.021
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2015, 8 (6), pp.2361-2369. ⟨10.1109/JSTARS.2014.2347414⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2015, 8 (6), pp.2361-2369. ⟨10.1109/JSTARS.2014.2347414⟩
International audience; This paper proposes a novel approach to classify hyperspectral (HS) images using both spectral and spatial information. It first consists of a supervised spectral dimension reduction step that transforms the HS image into a sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1282d2fd166dbe860d989408229809ae
https://doi.org/10.1109/jstars.2014.2347414
https://doi.org/10.1109/jstars.2014.2347414
Publikováno v:
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, Elsevier, 2015, 110, pp.70-77. ⟨10.1016/j.compag.2014.09.021⟩
Computers and Electronics in Agriculture, Elsevier, 2015, 110, pp.70-77. ⟨10.1016/j.compag.2014.09.021⟩
We propose a phenotyping method to characterize the crop row structure.A crop row 3D model is built using a single camera and Structure from Motion.Structural parameters such as height and leaf area are estimated from this 3D model.Our method was tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbfa01c26372894110b97f6589d6a43
https://doi.org/10.1016/j.compag.2014.09.021
https://doi.org/10.1016/j.compag.2014.09.021
Autor:
Sylvain Jay, Gilles Rabatel, Bastien Billiot, Christophe Salon, Frédéric Cointault, David Rousseau, Jean-Claude Simon, Simeng Han
Publikováno v:
Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C.
Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C., IGI Global, pp.236-272, 2016
Developing and applying optoelectronics in machine vision. Sergiyenko, O. and Rodriguez-Quiñonez, J.C., IGI Global, pp.236-272, 2016
The development of the concepts of precision agriculture and viticulture since the last three decades has shown the need to use first 2D image acquisition techniques and dedicated image processing. More and more needs concern now 3D images and inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d67c91a9e391d10b97d90c1fd209064
https://doi.org/10.4018/978-1-5225-0632-4.ch008
https://doi.org/10.4018/978-1-5225-0632-4.ch008
Publikováno v:
Computers and Electronics in Agriculture. 108:242-249
We modeled spectral variability obtained with wheat and weed reflectance spectra.We examined pre-treatment influence on discrimination results using PLS-LDA and SVM.We discussed the bias and class separability obtained with PLS-LDA scores.Results pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123b49190630d994e5b5b618b25f0e4b
https://doi.org/10.1016/j.compag.2014.08.010
https://doi.org/10.1016/j.compag.2014.08.010
Autor:
Sylvain Labbé, Gilles Rabatel
Publikováno v:
Precision Agriculture
Precision Agriculture, Springer Verlag, 2016, 17 (5), pp.564-587. ⟨10.1007/s11119-016-9437-x⟩
Precision Agriculture, Springer Verlag, 2016, 17 (5), pp.564-587. ⟨10.1007/s11119-016-9437-x⟩
International audience; The combination of aerial images acquired in the visible and near infrared spectral ranges is particularly relevant for agricultural and environmental survey. In unmanned aerial vehicle (UAV) imagery, such a combination can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::228fad5d070bac2990d3abe55932841c
https://hal.archives-ouvertes.fr/hal-01684135/document
https://hal.archives-ouvertes.fr/hal-01684135/document