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pro vyhledávání: '"Henrot, Simon"'
Autor:
Henrot, Simon
L'imagerie hyperspectrale consiste à acquérir une scène spatiale à plusieurs longueurs d'onde, e.g. en microscopie. Cependant, lorsque l'image est observée à une résolution suffisamment fine, elle est dégradée par un flou (convolution) et un
Externí odkaz:
http://www.theses.fr/2013LORR0187
In this paper, we consider the problem of unmixing a time series of hyperspectral images. We propose a dynamical model based on linear mixing processes at each time instant. The spectral signatures and fractional abundances of the pure materials in t
Externí odkaz:
http://arxiv.org/abs/1510.04238
Akademický článek
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Akademický článek
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Autor:
Alves de Oliveira, Vinicius, Oberlin, Thomas, Chabert, Marie, Poulliat, Charly, Mickael, Bruno, Latry, Christophe, Carlavan, Mikael, Henrot, Simon, Falzon, Frederic, Camarero, Roberto
Publikováno v:
Proceedings of OBPDC 2020
7th International Workshop on On-Board Payload Data Compression (OBPDC 2020)
7th International Workshop on On-Board Payload Data Compression (OBPDC 2020), European Space Agency (ESA); Centre national d'études spatiales (CNES), Sep 2020, Online, Greece. pp.1-8
7th International Workshop on On-Board Payload Data Compression (OBPDC 2020)
7th International Workshop on On-Board Payload Data Compression (OBPDC 2020), European Space Agency (ESA); Centre national d'études spatiales (CNES), Sep 2020, Online, Greece. pp.1-8
International audience; In recent years, neural networks have emerged as data-driven tools to solve problems which were previously addressed with model-based methods. In particular, image processing has been largely impacted by convolutional neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fc91d95c554fee3cab3e06bd59c9e509
https://oatao.univ-toulouse.fr/28221/
https://oatao.univ-toulouse.fr/28221/
Publikováno v:
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Mar 2016, Shanghai, China
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Mar 2016, Shanghai, China
International audience; This work aims at studying a method to automatically estimate regularization parameters of hyperspectral images deconvolution methods. The deconvolution problem is formulated as a multi-objective optimization problem and the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2d69c74cabffc0d6b8bd4b133c45b2d6
https://hal.archives-ouvertes.fr/hal-01266980
https://hal.archives-ouvertes.fr/hal-01266980
Publikováno v:
[Research Report] CRAN. 2016
This document is a supplementary material aiming at evaluating the performances of the proposed MDC and MCC for different types of hyperspectral images. Also, it gives an application of these approaches on real data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cf273cc0f2541b09f26932e77a24f4a5
https://hal.archives-ouvertes.fr/hal-01359058/file/doc_sup_ieee_tip2016.pdf
https://hal.archives-ouvertes.fr/hal-01359058/file/doc_sup_ieee_tip2016.pdf
Autor:
Drumetz, Lucas, Henrot, Simon, Veganzones, Miguel Angel, Chanussot, Jocelyn, Jutten, Christian
Publikováno v:
2015-GRETSI-Actes de Colloque
GRETSI 2015-XXVème Colloque francophone de traitement du signal et des images
GRETSI 2015-XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France
gretsi.fr/colloque2015/
GRETSI 2015-XXVème Colloque francophone de traitement du signal et des images
GRETSI 2015-XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France
gretsi.fr/colloque2015/
National audience; Par simplicité, un modèle de mélange linéaire est souvent utilisé pour démélanger des images hyperspectrales, mais il suppose qu'une unique signature spectrale peut représenter complètement un endmember. Cependant, dans be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f58d719156ebdae2fd7cc9f925e589f
https://hal.archives-ouvertes.fr/hal-01236637
https://hal.archives-ouvertes.fr/hal-01236637
Publikováno v:
[Research Report] CRAN-IRCCyN. 2015
SIMS_HCERES2020; In many hyperspectral image restoration problems, some prior information is available, such as the spatial and/or spectral regularity of the solution. Additionally, a nonnegativ-ity constraint must often be imposed to provide a physi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a6e45418c3f2e0b58d12c6d64fdb11b1
https://hal.archives-ouvertes.fr/hal-01171524/file/paper.pdf
https://hal.archives-ouvertes.fr/hal-01171524/file/paper.pdf
Autor:
Henrot, Simon
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université de Lorraine, 2013. Français
Hyperspectral imaging refers to the acquisition of spatial images at enough spectral bands to produce highly resolved pixel spectra. When applied to microscopy, this technique allows to collect additional information about the specimens of interest.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f1c71ea1faf8ad919dd7b07804938757
https://theses.hal.science/tel-00931579
https://theses.hal.science/tel-00931579