Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Samir Youssif Wehbi Arabi"'
Publikováno v:
IEEE Latin America Transactions. 14:3102-3109
This paper presents a new methodology for hyperspectral image classification based on the definition of typical sets from the Asymptotic Equipartition Property, an important tool in the field of information theory. The Endmembers (EM) are decomposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4e1e215c1eba24bc989486a6759389
https://doi.org/10.1109/tla.2016.7587608
https://doi.org/10.1109/tla.2016.7587608
Publikováno v:
SPIE Proceedings.
The Hyperspectral images due to its good spectral resolution are extensively used for classification, but its high number of bands requires a higher bandwidth in the transmission data, a higher data storage capability and a higher computational capab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d34620e42c6960951b8907e1120be2e
https://doi.org/10.1117/12.2194135
https://doi.org/10.1117/12.2194135
Publikováno v:
IGARSS
This work presents a new method for hyperspectral spectra classification based on the Typical Sequence (TS) derived from the Asymptotic Equipartition Theorem and Information Theory. Each Endmember (EM) of a scene is represented by a Hidden Markov Mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f46b30d04388ef90980629268b25b575
https://doi.org/10.1109/igarss.2015.7326113
https://doi.org/10.1109/igarss.2015.7326113