Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Menna M. Elkholy"'
Publikováno v:
International Journal of Image and Data Fusion. 13:244-261
Hyperspectral imaging (HSI) is a beneficial source of information for numerous civil and military applications, but high dimensionality and strong correlation limits HSI classification performance....
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a52c51229e0406b00b6a9ec5caf3a609
https://doi.org/10.1080/19479832.2021.1972047
https://doi.org/10.1080/19479832.2021.1972047
Publikováno v:
International Journal of Remote Sensing. 41:4799-4819
Hyperspectral Unmixing (HU) estimates the combination of endmembers and their corresponding fractional abundances in each of the mixed pixels in the hyperspectral remote sensing image. In t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0ee1a0a15c06db15054c0c4f042afa
https://doi.org/10.1080/01431161.2020.1724346
https://doi.org/10.1080/01431161.2020.1724346
Publikováno v:
Internet of Things—Applications and Future ISBN: 9789811530746
Hyperspectral Unmixing (HU), also known as spectral mixture analysis, is a challenging problem that decomposes a mixed spectrum into a collection of endmembers and their abundance fractions. In this paper, we extended the autoencoder network (Palsson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5679e66cb72312c0521ee23943a9f91f
https://doi.org/10.1007/978-981-15-3075-3_17
https://doi.org/10.1007/978-981-15-3075-3_17
