Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Charles Soussen"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9711-9726 (2021)
Reflectance spectroscopy is a widely used technique for mineral identification and characterization. Since modern airborne and satellite-borne sensors yield an increasing number of hyperspectral data, it is crucial to develop unsupervised methods to
Externí odkaz:
https://doaj.org/article/00ca6954e3cd404f980ecaaa661b593d
Publikováno v:
IEEE Access, Vol 7, Pp 13217-13229 (2019)
Piecewise signals appear in many application fields. Here, we propose a framework for segmenting such signals based on the modeling of each piece using a parametric probability distribution. The proposed framework first models the segmentation as an
Externí odkaz:
https://doaj.org/article/bcd7cd808a0c4d1291cd9cc06f34d262
Publikováno v:
PLoS ONE, Vol 6, Iss 4, p e18887 (2011)
Atomic force microscopy (AFM) has now become a powerful technique for investigating on a molecular level, surface forces, nanomechanical properties of deformable particles, biomolecular interactions, kinetics, and dynamic processes. This paper specif
Externí odkaz:
https://doaj.org/article/7fe4cf4f73a3440fae80b1cb664c3b0d
Sparse coding is now one of the state-of-art approaches for solving inverse problems. In combination with (Fast) Iterative Shrinkage Thresholding Algorithm (ISTA), among other algorithms, one can efficiently get a nice estimator of the sought sparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da662bc49d248e2ff9f224c69733cbd0
https://hal-centralesupelec.archives-ouvertes.fr/hal-03576005
https://hal-centralesupelec.archives-ouvertes.fr/hal-03576005
Publikováno v:
Signal Processing
Signal Processing, Elsevier, 2021, 188, pp.108185. ⟨10.1016/j.sigpro.2021.108185⟩
Signal Processing, Elsevier, 2021, ⟨10.1016/j.sigpro.2021.108185⟩
Signal Processing, Elsevier, 2021, 188, pp.108185. ⟨10.1016/j.sigpro.2021.108185⟩
Signal Processing, Elsevier, 2021, ⟨10.1016/j.sigpro.2021.108185⟩
International audience; This paper proposes an exact recovery analysis of greedy algorithms for non-negative sparse representations. Orthogonal greedy algorithms such as Orthogonal Matching Pursuit (OMP) and Orthogonal Least Squares (OLS) consist of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd0ad7f41c94eeef683831f7671d2d40
https://hal.archives-ouvertes.fr/hal-01971697v5/document
https://hal.archives-ouvertes.fr/hal-01971697v5/document
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (21), pp.5643-5658. ⟨10.1109/TSP.2019.2943225⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (21), pp.5643-5658. ⟨10.1109/TSP.2019.2943225⟩
International audience; Orthogonal greedy algorithms are popular sparse signal reconstruction algorithms. Their principle is to select atoms one by one. A series of unconstrained least-squares subproblems of gradually increasing size is solved to com
Publikováno v:
IEEE Access, Vol 7, Pp 13217-13229 (2019)
IEEE Access
IEEE Access, IEEE, 2019, 7, pp.13217-13229. ⟨10.1109/ACCESS.2018.2890077⟩
IEEE Access
IEEE Access, IEEE, 2019, 7, pp.13217-13229. ⟨10.1109/ACCESS.2018.2890077⟩
Piecewise signals appear in many application fields. Here, we propose a framework for segmenting such signals based on the modeling of each piece using a parametric probability distribution. The proposed framework first models the segmentation as an
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, 2021, 14, pp.9711-9726. ⟨10.1109/JSTARS.2021.3110008⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, In press, ⟨10.1109/JSTARS.2021.3110008⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, pp.9711-9726. ⟨10.1109/JSTARS.2021.3110008⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2021, 14, pp.9711-9726. ⟨10.1109/JSTARS.2021.3110008⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, In press, ⟨10.1109/JSTARS.2021.3110008⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, pp.9711-9726. ⟨10.1109/JSTARS.2021.3110008⟩
International audience; Reflectance spectroscopy is a widely used technique for mineral identification and characterization. Since modern airborne and satellite-borne sensors yield an increasing number of hyperspectral data, it is crucial to develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db13bbf766248bad63270d3decdffc0c
https://hal.archives-ouvertes.fr/hal-03260043v3/document
https://hal.archives-ouvertes.fr/hal-03260043v3/document
Autor:
Valerii V Tuchin, Marine Amouroux, Walter Blondel, Christian Daul, Charles Soussen, Prisca Rakotomanga, Sergey M. Zaytsev, Elina A. Genina, Victor Colas, Grégoire Khairallah
Publikováno v:
19th International Conference on Laser Optics, ICLO 2020 (6th International Symposium on Lasers in Medicine and Biophotonics)
19th International Conference on Laser Optics, ICLO 2020 (6th International Symposium on Lasers in Medicine and Biophotonics), Nov 2020, St Petersburg, Russia
19th International Conference on Laser Optics, ICLO 2020 (6th International Symposium on Lasers in Medicine and Biophotonics), Nov 2020, St Petersburg, Russia
International audience; In this study, the changes in Spatially Resolved Diffuse Reflectance and AutoFluorescence spectra acquired on ex vivo human skin during optical clearing process (topical application) are investigated and their impact on skin o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57ac2fa0a9d4070b9e80a659078296b5
https://hal.archives-ouvertes.fr/hal-03018569
https://hal.archives-ouvertes.fr/hal-03018569
Publikováno v:
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium
International Geoscience and Remote Sensing Symposium
International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, HI (virtual), United States. ⟨10.1109/IGARSS39084.2020.9323461⟩
IGARSS
HAL
International Geoscience and Remote Sensing Symposium
International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, HI (virtual), United States. ⟨10.1109/IGARSS39084.2020.9323461⟩
IGARSS
HAL
International audience; The absorption positions and shapes are key information to identify and characterize a mineral from its reflectance spectrum. With the development of new airborne and satellite-borne hyperspectral sensors, automatic methods ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10f908bc1e2cfc8d434a8e7a978b512a
https://hal.science/hal-03108138/document
https://hal.science/hal-03108138/document