Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dan López-Puigdollers"'
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 992 (2021)
The systematic monitoring of the Earth using optical satellites is limited by the presence of clouds. Accurately detecting these clouds is necessary to exploit satellite image archives in remote sensing applications. Despite many developments, cloud
Externí odkaz:
https://doaj.org/article/dae8aaad6e5447ddb184c343c3632cbc
Autor:
Roberto Fernandez-Moran, Gonzalo Mateo-Garcia, Dan López-Puigdollers, Luis Gómez-Chova, Luis Alonso
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 181:238-253
Sentinel-3 is an Earth observation satellite constellation launched by the European Space Agency. Each satellite carries two optical multispectral instruments: the Ocean and Land Colour Instrument (OLCI) and the Sea and Land Surface Temperature Radio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c6b5fe3d5ee0cc96b79b779db8bbad6
https://doi.org/10.1016/j.isprsjprs.2021.09.013
https://doi.org/10.1016/j.isprsjprs.2021.09.013
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 160:1-17
Accurate cloud detection algorithms are mandatory to analyze the large streams of data coming from the different optical Earth observation satellites. Deep learning (DL) based cloud detection schemes provide very accurate cloud detection models. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a7a72cf2d79dbca85170ffe1e1c2e5c
https://doi.org/10.1016/j.isprsjprs.2019.11.024
https://doi.org/10.1016/j.isprsjprs.2019.11.024
Autor:
Sergii Skakun, Jan Wevers, Carsten Brockmann, Georgia Doxani, Matej Aleksandrov, Matej Batič, David Frantz, Ferran Gascon, Luis Gómez-Chova, Olivier Hagolle, Dan López-Puigdollers, Jérôme Louis, Matic Lubej, Gonzalo Mateo-García, Julien Osman, Devis Peressutti, Bringfried Pflug, Jernej Puc, Rudolf Richter, Jean-Claude Roger, Pat Scaramuzza, Eric Vermote, Nejc Vesel, Anže Zupanc, Lojze Žust
Publikováno v:
Remote Sensing of Environment. 274:112990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaa9ff5c6d6777e8e4f73444265efb6c
https://doi.org/10.1016/j.rse.2022.112990
https://doi.org/10.1016/j.rse.2022.112990
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 747-761 (2021)
The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::082e2d865036a73272d525604bc16bcb
http://arxiv.org/abs/2006.05923
http://arxiv.org/abs/2006.05923
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
Automatic and reliable classification of images of white blood cells is desirable for inexpensive, quick and accurate health diagnosis worldwide. In contrast to previous approaches which tend to rely on image segmentation and a careful choice of ad h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d941f51c04d8d1be2ad6200c619541b
https://doi.org/10.1016/j.eswa.2018.08.029
https://doi.org/10.1016/j.eswa.2018.08.029
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 747-761 (2021)
The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor
Externí odkaz:
https://doaj.org/article/d3e231c15e24495abba38d15ac89c804