Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alexandre Constantin"'
Autor:
Alexandre Constantin, 康亞力
106
In computer vision, image classification has always had an important place due to its widespread applications such as image compression, object tracking, image analysis and ground use evolution. In this particular area we will use classifica
In computer vision, image classification has always had an important place due to its widespread applications such as image compression, object tracking, image analysis and ground use evolution. In this particular area we will use classifica
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/t6fp67
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), In press
Statistics and Computing, 2022, 32 (5), pp.79. ⟨10.1007/s11222-022-10145-8⟩
Statistics and Computing, Springer Verlag (Germany), In press
Statistics and Computing, 2022, 32 (5), pp.79. ⟨10.1007/s11222-022-10145-8⟩
International audience; The classification of irregularly sampled Satellite image time-series (SITS) is investigated in this paper. A multivariate Gaussian process mixture model is proposed to address the irregular sampling and the multivariate natur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810457c00b57de7c9264a9dd4711469e
https://hal.archives-ouvertes.fr/hal-03280484
https://hal.archives-ouvertes.fr/hal-03280484
Autor:
Alexandre Constantin
Publikováno v:
Image Processing [eess.IV]. Université Grenoble Alpes [2020-..], 2021. English. ⟨NNT : 2021GRALM069⟩
HAL
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
https://theses.hal.science/tel-03682025/document
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⟩
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
https://hal.inria.fr/hal-02997573
Publikováno v:
2019-Journée Jeunes Chercheurs MACLEAN du GDR MADICS
2019-Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2
HAL
2019-Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2
HAL
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ec98d4a88b5932c6375b75b1a80282f7
https://hal.archives-ouvertes.fr/hal-02394120
https://hal.archives-ouvertes.fr/hal-02394120
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
https://doi.org/10.1109/apccas.2018.8605652
Publikováno v:
Intelligent Vehicles Symposium
In this paper we present a new approach to the threat assessment problem for semi-autonomous and fully autonomous vehicles, based on the estimation of the control freedom afforded to a vehicle. Given sensor information available about the surrounding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c883d741fa5074d560600097e00d89
https://doi.org/10.1109/ivs.2014.6856584
https://doi.org/10.1109/ivs.2014.6856584
Publikováno v:
International Journal of Vehicle Autonomous Systems. 12:384
In this paper we propose a novel approach to the threat assessment problem for Advanced Driver Assistance System (ADAS) and autonomous navigation decision making support. This threat assessment is based on estimation of the control margin afforded to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c37f2f724f10bfa59e3228ac770267
https://doi.org/10.1504/ijvas.2014.067869
https://doi.org/10.1504/ijvas.2014.067869
Autor:
Maria Paula Ferreira, Alexandre Constantino, Gustavo de Oliveira Coelho de Souza, Marcelo Trindade Pitta, Nádia Pinheiro Dini
Publikováno v:
Revista Brasileira de Segurança Pública, Vol 4, Iss 1 (2010)
Esse artigo apresenta uma metodologia quantitativa para a identificação de áreas intraurbanas com concentração dejovens de 12 a 29 anos em situação de vulnerabilidade à violência letal. Como exemplo, apresenta-se para o municípiode São Pau
Externí odkaz:
https://doaj.org/article/d5b680079c544315acd4442efaf54bc3
Th.--Méd.--Strasbourg, 1838.
Voyez tome 1, 2e série N ° 15 Strasbourg, 1838.
Voyez tome 1, 2e série N ° 15 Strasbourg, 1838.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb368954431