Vérité et révélation Nicolas Berdiaeff Alexandre Constantin

Autor: Guillaumont, A.

Publikováno v: Revue de l'histoire des religions, 1959 Jan 01. 155(1), 112-113.

Externí odkaz: https://www.jstor.org/stable/23666663

Des affections chirurgicales de la langue. (Cand. Alexandre Constantin Biart De Beauregard).

Autor: Biart de Beauregard, Alexandre Constantin.

Th.--Méd.--Strasbourg, 1857.
Voyez tome 20, 2e série N ° 391 Strasbourg 1857.

Externí odkaz: http://catalogue.bnf.fr/ark:/12148/cb368554765

Analyse de séries temporelles massives d'images satellitaires : Applications à la cartographie des écosystèmes

Autor: Alexandre Constantin

Publikováno v: Image Processing [eess.IV]. Université Grenoble Alpes [2020-..], 2021. English. ⟨NNT : 2021GRALM069⟩
HAL

This thesis takes place in the context of the processing of the data from Sentinel-2 mission. This mission, initiated by the European Space Agency and launched in 2017, produces an unprecedented amount of Satellite Image Time-Series (SITS). Among the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::500badb9ce1a63aea3f7c8ad54bba20f
https://theses.hal.science/tel-03682025/document

Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series

Autor: Alexandre Constantin, Mathieu Fauvel, Stéphane Girard

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2021, 60, pp.4403913. ⟨10.1109/TGRS.2021.3076667⟩
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TGRS.2021.3076667⟩

International audience; Recent satellite missions have led to a huge amount of earth observation data, most of them being freely available. In such a context, satellite image time series have been used to study land use and land cover information. Ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737f3d2acc018109eae5d69e481e08d3
https://hal.inria.fr/hal-02997573

Accurate Road Detection from Satellite Images Using Modified U-net

Autor: Alexandre Constantin, Jian-Jiun Ding, Yih-Cherng Lee

Publikováno v: APCCAS

In this paper, we present an accurate neural network algorithm to detect roads in satellite images. Based on convolutional neural networks, from a 6-channel image, this model is able to transfer the road structure to the output using both the U-net a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0086e3017ea695320efa6fb7a1d0e9e
https://doi.org/10.1109/apccas.2018.8605652