Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jean-Baptiste Courbot"'
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 5039 (2022)
Different diurnal rainfall cycles occur over the offshore and inland regions of the South China coastal area (SCCA). Inspired by these findings, in this study, we investigated the diurnal evolution features of cloud systems and cloud properties insid
Externí odkaz:
https://doaj.org/article/798318538afe41199739ad309bbc0b81
Autor:
Riadh Abbessi, Nicolas Verrier, Asemare Mengistie Taddese, Steve Laroche, Matthieu Debailleul, Mohamed Lo, Jean‐Baptiste Courbot, Olivier Haeberlé
Publikováno v:
Journal of Microscopy. 288:193-206
Tomographic diffraction microscopy (TDM) is a tool of choice for high-resolution, marker-less 3D imaging of biological samples. Based on a generalization of digital holographic microscopy with full control of the sample's illumination, TDM measures,
Autor:
Jean-Baptiste Courbot, Bruno Colicchio
Publikováno v:
IEEE Signal Processing Letters. 29:2702-2706
Publikováno v:
Remote Sensing; Volume 14; Issue 19; Pages: 5039
Different diurnal rainfall cycles occur over the offshore and inland regions of the South China coastal area (SCCA). Inspired by these findings, in this study, we investigated the diurnal evolution features of cloud systems and cloud properties insid
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Riadh Abbessi, Steve Laroche, Nicolas Verrier, Jean-Baptiste Courbot, Matthieu Debailleul, Olivier Haeberlé
Publikováno v:
Unconventional Optical Imaging III.
Publikováno v:
Expert Systems with Applications. 210:118282
Publikováno v:
Signal Processing. 163:41-48
We consider the problem of segmentation in noisy, blurred astronomical hyperspectral images (HSI). Recent methods based on an hypothesis-testing framework handle the problem, but do not allow to use a prior on the result and often fail in the presenc
Publikováno v:
ICASSP
Hidden Markov Trees (HMTs) are successful probabilistic models [1] [2] [3] in image segmentation or genetic analysis for example. They offer a good compromise between the random variables that can be modeled and the tractability of the inference with
Autor:
Asemare Mengistie, Taddese, Nicolas, Verrier, Matthieu, Debailleul, Jean-Baptiste, Courbot, Olivier, Haeberlé
Publikováno v:
Applied optics. 60(6)
Due to the sequential nature of data acquisition, it is preferable to limit the number of illuminations to be used in tomographic diffractive microscopy experiments, especially if fast imaging is foreseen. On the other hand, for high-quality, high-re