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pro vyhledávání: '"Patrick Walder"'
Publikováno v:
Research in Learning Technology, Vol 6, Iss 3 (1998)
In Scotland all 13 universities and a number (8) of other related institutions of higher education are connected on a high bandwidth computer network. Organizationally, this is composed of four interconnected Metropolitan Area Networks (MANs). The hi
Externí odkaz:
https://doaj.org/article/b61bfc4293ae46f3bc68a708dbe21eb1
Autor:
Iain MacLaren, Patrick Walder
Publikováno v:
International Journal of Remote Sensing. 21:1693-1708
Artificial neural networks trained on spectral and textural features extracted from Advanced Very High Resolution Radiometer (AVHRR) images have been used to develop an automated cloud classification system. Selection of the optimum combination of fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9431df3b8b8183c44b1cd447cfc75077
https://doi.org/10.1080/014311600209977
https://doi.org/10.1080/014311600209977
Publikováno v:
Research in Learning Technology; Vol 6, No 3 (1998)
Research in Learning Technology, Vol 6, Iss 3 (1998)
Research in Learning Technology, Vol 6, Iss 3 (1998)
In Scotland all 13 universities and a number (8) of other related institutions of higher education are connected on a high bandwidth computer network. Organizationally, this is composed of four interconnected Metropolitan Area Networks (MANs). The hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b7c3e23950be99592dafcd37765f80
http://www.researchinlearningtechnology.net/index.php/rlt/article/view/11160
http://www.researchinlearningtechnology.net/index.php/rlt/article/view/11160
Publikováno v:
SPIE Proceedings.
The development of an efficient and accurate automated cloud classification method for use on satellite Images will be of great benefit to operational meteorology and climate studies. We have examined the possible use of neural networks as a classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd0bf985331a1ed0e3f094c3beef98a3
https://doi.org/10.1117/12.196704
https://doi.org/10.1117/12.196704
Conference
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