Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marco Scavazzon"'
Autor:
Martino Pesaresi, Guo Huadong, Xavier Blaes, Daniele Ehrlich, Stefano Ferri, Lionel Gueguen, Matina Halkia, Mayeul Kauffmann, Thomas Kemper, Linlin Lu, Mario A. Marin-Herrera, Georgios K. Ouzounis, Marco Scavazzon, Pierre Soille, Vasileios Syrris, Luigi Zanchetta
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 6, Iss 5, Pp 2102-2131 (2013)
A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test in
Externí odkaz:
https://doaj.org/article/ead5c0d41bbd4c14ab3a62b0ed2ddc12
Autor:
Marco Scavazzon, Vasileios Syrris, Luigi Zanchetta, Pierre Soille, Linlin Lu, Georgios K. Ouzounis, Daniele Ehrlich, Thomas Kemper, Martino Pesaresi, Guo Huadong, Mayeul Kauffmann, Matina Halkia, Xavier Blaes, Lionel Gueguen, Mario A. Marin-Herrera, Stefano Ferri
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 6, Iss 5, Pp 2102-2131 (2013)
A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c08995aab1a7789c116f747dd963fafd
https://ieeexplore.ieee.org/document/6578177/
https://ieeexplore.ieee.org/document/6578177/
Autor:
Aneta J. Florczyk, Stefano Ferri, Martino Pesaresi, Marco Scavazzon, Matina Halkia, Vasileios Syrris
Publikováno v:
IGARSS
This paper describes the methodology and the results of a comprehensive automatic image classification task aiming to map the European settlements using 2.5m-resolution input data. The processing approach is consistent with the Global Human Settlemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbaf96a5c84c4c63676dba87d2b56fd
https://doi.org/10.1109/igarss.2014.6946636
https://doi.org/10.1109/igarss.2014.6946636