Institution
Grenoble Institute of Technology
Education•Grenoble, France•
About: Grenoble Institute of Technology is a education organization based out in Grenoble, France. It is known for research contribution in the topics: Hyperspectral imaging & Geology. The organization has 3427 authors who have published 5345 publications receiving 137158 citations. The organization is also known as: Grenoble INP.
Papers published on a yearly basis
Papers
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TL;DR: A method to address the problem of mixed pixels and to obtain a finer spatial resolution of the land cover classification maps is proposed, which exploits the advantages of both soft classification techniques and spectral unmixing algorithms, in order to determine the fractional abundances of the classes at a sub-pixel scale.
Abstract: The problem of classification of hyperspectral images containing mixed pixels is addressed. Hyperspectral imaging is a continuously growing area of remote sensing applications. The wide spectral range of such imagery, providing a very high spectral resolution, allows to detect and classify surfaces and chemical elements of the observed image. The main problem of hyperspectral data is the (relatively) low spatial resolution, which can vary from a few to tens of meters. Many factors make the spatial resolution one of the most expensive and hardest to improve in imaging systems. For classification, the major problem caused by low spatial resolution are the mixed pixels, i.e., parts of the image where more than one land cover map lie in the same pixel. In this paper, we propose a method to address the problem of mixed pixels and to obtain a finer spatial resolution of the land cover classification maps. The method exploits the advantages of both soft classification techniques and spectral unmixing algorithms, in order to determine the fractional abundances of the classes at a sub-pixel scale. Spatial regularization by simulated annealing is finally performed to spatially locate the obtained classes. Experiments carried out on synthetic real data sets show excellent results both from a qualitative and quantitative point of view.
164 citations
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TL;DR: In this paper, the authors proposed to use infrared (IR) measurements in order to evaluate the relevance of three commonly used TSEPs with insulated gate bipolar transistor chips: the saturation voltage under low current, the gate-emitter voltage, and the saturation current.
Abstract: The measurement of the junction temperature with thermosensitive electrical parameters (TSEPs) is largely used by electrical engineers or researchers, but the obtained temperature value is generally not verified by any referential information of the actual chip temperature distribution. In this paper, we propose to use infrared (IR) measurements in order to evaluate the relevance of three commonly used TSEPs with insulated gate bipolar transistor chips: the saturation voltage under a low current, the gate-emitter voltage, and the saturation current. TheIR measurements are presented in detail with an estimation of the emissivity of the black paint deposited on the power module. The temperatures obtained with IR measurements and with the different TSEPs are then compared in two cases: the use of only one chip and the use of two paralleled chips.
164 citations
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TL;DR: In this article, the effects of CNC silane surface treatment on the morphology, mechanical and thermal properties, viscoelastic behavior and water absorption of reinforced UPR have been studied.
163 citations
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TL;DR: 3D modeling offered the opportunity to investigate the role of the transversalis, in particular, its involvement in the production of high front vowels, and it was found to be indirect via reflex mechanisms due to the activation of surrounding muscles, not voluntary.
Abstract: A 3D biomechanical model of the tongue and the oral cavity, controlled by a functional model of muscle force generation (-model of the equilibrium point hypothesis) and coupled with an acoustic model, was exploited to study the activation of the tongue and mouth floor muscles during the production of French cardinal vowels. The selection of the motor commands to control the tongue and the mouth floor muscles was based on literature data, such as electromyographic (EMG), electropalatographic (EPG) and cineradiographic data. The tongue shapes were also compared to data obtained from the speaker used to build the model. 3D modeling offered the opportunity to investigate the role of the transversalis, in particular its involvement in the production of high front vowels. It was found, with this model, to be indirect via reflex mechanisms due to the activation of surrounding muscles, not voluntary. For vowel /i/, local motor command variations for the main tongue muscles revealed a non-negligible modification of the alveolar groove in contradiction to the saturation effect hypothesis, due to the role of the anterior genioglossus. Finally, the impact of subject position (supine or upright) on the production of French cardinal vowels was explored and found to be negligible.
163 citations
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University of Helsinki1, Centre national de la recherche scientifique2, University of Orléans3, Warsaw University of Technology4, Instituto Superior Técnico5, King Juan Carlos University6, Centro de Estudios e Investigaciones Técnicas de Gipuzkoa7, Max Planck Society8, Forschungszentrum Jülich9, Nuclear Research and Consultancy Group10, Grenoble Institute of Technology11, Energy Research Centre of the Netherlands12
TL;DR: The long-term objective of the EFDA fusion materials programme is to develop structural as well as armor materials in combination with the necessary production and fabrication technologies for future divertor concepts as mentioned in this paper.
163 citations
Authors
Showing all 3527 results
Name | H-index | Papers | Citations |
---|---|---|---|
J. F. Macías-Pérez | 134 | 486 | 94715 |
J-Y. Hostachy | 119 | 716 | 65686 |
Alain Dufresne | 111 | 358 | 45904 |
David Brown | 105 | 1257 | 46827 |
Raphael Noel Tieulent | 89 | 417 | 24926 |
Antonio Plaza | 79 | 631 | 29775 |
G. Conesa Balbastre | 76 | 208 | 18800 |
Jocelyn Chanussot | 73 | 614 | 27949 |
Ekhard K. H. Salje | 70 | 581 | 19938 |
Richard Wilson | 70 | 809 | 21477 |
Jerome Bouvier | 70 | 278 | 13724 |
David Maurin | 68 | 215 | 17295 |
Alessandro Gandini | 67 | 348 | 19813 |
Matthieu Tristram | 67 | 143 | 17188 |
D. Santos | 65 | 113 | 15648 |