Zobrazeno 1 - 10
of 134
pro vyhledávání: '"E, Sarrazin"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 167-175 (2022)
The amount of very high resolution optical satellite images at our disposal is continuously increasing. Besides, associated satellite programs often come with high revisit rates and geometric properties that allow for either opportunistic or by-desig
Externí odkaz:
https://doaj.org/article/3664479cf248484d8dfac75d99a12985
Autor:
E. Sarrazin, M. Cournet, L. Dumas, V. Defonte, Q. Fardet, Y. Steux, N. Jimenez Diaz, E. Dubois, D. Youssefi, F. Buffe
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 383-390 (2021)
In a 3D reconstruction pipeline, stereo matching step aims at computing a disparity map representing the depth between image pair. The evaluation of the disparity map can be done through the estimation of a confidence metric. In this article, we prop
Externí odkaz:
https://doaj.org/article/1e30224e25144fdcbf02cfbcfedc4fc5
Autor:
J. Michel, E. Sarrazin, D. Youssefi, M. Cournet, F. Buffe, J. M. Delvit, A. Emilien, J. Bosman, O. Melet, C. L’Helguen
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 171-178 (2020)
This paper presents a new Multiview Stereo Pipeline (MVS), called CARS, dedicated to satellite imagery. This pipeline is intended for massive Digital Surface Model (DSM) production and has therefore been designed to maximize scalability robustness an
Externí odkaz:
https://doaj.org/article/34f261b405704e0b8bc0ea33c3ead2b8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 143-148 (2020)
Earth Observation (EO) remote sensing missions are producing an increasing volume of data due to higher spatial and spectral resolutions, and higher frequency of acquisitions. Thus, in order to prepare the future of image processing pipelines, CNES h
Externí odkaz:
https://doaj.org/article/289945856c0d4c84b1ea188a2c3bcd28
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 127-134 (2020)
Several 3D reconstruction pipelines are being developed around the world for satellite imagery. Most of them implement their own versions of Semi-Global Matching, as an option for the matching step. However, deep learning based solutions already outp
Externí odkaz:
https://doaj.org/article/767588e1cc6f444cb8005c73729f98ac
Akademický článek
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Akademický článek
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Autor:
Onofre Muñoz Hernández, Jesús Kumate, Luis E. Sarrazin Dávila, Marcos Gutiérrez de la Barrera, Mauricio Hernández, Ruy Pérez Tamayo
Publikováno v:
Boletín Médico del Hospital Infantil de México, Vol 72, Iss 3, Pp 215-221 (2015)
Externí odkaz:
https://doaj.org/article/ed107fe819f24d488003aaec1dc6e994
Autor:
M. Cournet, Q. Fardet, V. Defonte, Y. Steux, L. Dumas, Fabrice Buffe, David Youssefi, E. Dubois, N. Jimenez Diaz, E. Sarrazin
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 383-390 (2021)
In a 3D reconstruction pipeline, stereo matching step aims at computing a disparity map representing the depth between image pair. The evaluation of the disparity map can be done through the estimation of a confidence metric. In this article, we prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1af986aec65ea61ab357e3e4665e82c6
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/383/2021/isprs-archives-XLIII-B2-2021-383-2021.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/383/2021/isprs-archives-XLIII-B2-2021-383-2021.pdf
Akademický článek
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