An Object-Oriented Color Visualization Method with Controllable Separation for Hyperspectral Imagery

Most of the available hyperspectral image (HSI) visualization methods can be considered as data-oriented approaches. These approaches are based on global data, so it is difficult to optimize display of a specific object. Compared to data-oriented approaches, object-oriented visualization approaches...

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Autors principals:	Danfeng Liu, Liguo Wang, Jón Atli Benediktsson
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-05-01
Col·lecció:	Applied Sciences
Matèries:	hyperspectral image visualization object-oriented approach manifold methods
Accés en línia:	https://www.mdpi.com/2076-3417/10/10/3581
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