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pro vyhledávání: '"Aksel S. Danielsen"'
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4174 (2021)
Hyperspectral remote sensing reveals detailed information about the optical response of a scene. Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters, both to enable more analysis on-board the imaging platform and to reduce
Externí odkaz:
https://doaj.org/article/13eb6c8a5b8540e0917f5349d2390e08
Publikováno v:
Remote Sensing; Volume 13; Issue 20; Pages: 4174
Remote Sensing, Vol 13, Iss 4174, p 4174 (2021)
Remote Sensing, Vol 13, Iss 4174, p 4174 (2021)
Hyperspectral remote sensing reveals detailed information about the optical response of a scene. Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters, both to enable more analysis on-board the imaging platform and to reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c864875e03f92ae41562b670dba3154b