Zobrazeno 1 - 10
of 25
pro vyhledávání: '"André Jalobeanu"'
Publikováno v:
Earth and Planetary Science Letters. 426:130-142
The subsidence of young seafloor is generally considered to be a passive phenomenon related to the conductive cooling of the lithosphere after its creation at mid-oceanic ridges. Recent alternative theories suggest that the mantle dynamics plays an i
Publikováno v:
Inverse Problems in Vision and 3D Tomography
Publikováno v:
Inverse Problems in Vision and 3D Tomography
Publikováno v:
Statistical Methodology. 9:44-54
New generation integral-field spectrographs (IFS) such as MUSE will soon start observing distant astronomical objects with much higher spectral and spatial resolutions than today’s instruments. The new hyperspectral observations will represent a hu
Publikováno v:
Statistical Methodology
Statistical Methodology, Elsevier, 2008, 5, pp.361-372. ⟨10.1016/j.stamet.2008.02.002⟩
Statistical Methodology, Elsevier, 2008, 5, pp.361-372. ⟨10.1016/j.stamet.2008.02.002⟩
Virtual observatories give us access to huge amounts of image data that are often redundant. Our goal is to take advantage of this redundancy by combining images of the same field of view into a single model. To achieve this goal, we propose to devel
Autor:
Yervant Terzian, Steven M. Movit, Stacy Palen, Arsen R. Hajian, Karen A. Huyser, Nino Panagia, Bruce Balick, Kevin H. Knuth, Domhnull Granquist-Fraser, Dawn McIntosh, André Jalobeanu, Denis Trofimov, Anne Jaskot
Publikováno v:
The Astrophysical Journal Supplement Series. 169:289-327
We present an atlas of Hubble Space Telescope images and ground-based, long-slit, narrowband spectra centered on the 6584 Angstrom line of [N ii] and the 5007 Angstrom line of [O iii]. The spectra were obtained for a variety of slit positions across
Publikováno v:
IEEE Transactions on Image Processing. 13:613-621
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the reconstructed solution. Since real satellite data show spatially variant cha
Publikováno v:
International Journal of Computer Vision. 51:205-217
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem. Direct inversion leads to unacceptable noise amplification. Usually the problem is regularized during the inversion process. Recently, new approaches have been p
Publikováno v:
Pattern Recognition. 35:341-352
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ϕ function, involving two hyperparameters. Our goal is to estimate the optimal parameters in order to auto
Publikováno v:
Bulletin of the Seismological Society of America
Bulletin of the Seismological Society of America, Seismological Society of America, 2012, 102 (3), pp.936-947. ⟨10.1785/0120110087⟩
Bulletin of the Seismological Society of America, Seismological Society of America, 2012, 102 (3), pp.936-947. ⟨10.1785/0120110087⟩
International audience; We propose a probabilistic framework in which different types of information pertaining to the recurrence of large earthquakes on a fault can be combined in order to constrain the parameter space of candidate recurrence models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0c053d8a35ef8eabda971a90d86afe
https://hal.archives-ouvertes.fr/hal-00795462
https://hal.archives-ouvertes.fr/hal-00795462