Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition

Hyperspectral Image (HSI) classification refers to classifying hyperspectral data into features, where labels are given to pixels sharing the same features, distinguishing the present materials of the scene from one another. Naturally a HSI acquires spectral features of pixels, but spatial features...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Mathematical Morphology - Theory and Applications Ročník 4; číslo 1; s. 1 - 30
Hlavní autori:	Jouni, Mohamad, Mura, Mauro Dalla, Comon, Pierre
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	De Gruyter Open 01.01.2020 De Gruyter
Predmet:	15A69 94A08 Attribute Profiles Computer Science Hyperspectral Imagery Image Processing Mathematical Morphology Remote Sensing Image Scene Classification Tensor Decomposition Scene Classification MSC: 15A69 Tensor Decomposition 94A08 Scene Classification Attribute Profiles Ten- sor Decomposition Remote Sensing Image Hyperspectral Imagery Mathematical Morphology
ISSN:	2353-3390, 2353-3390
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!