Semi-Supervised Classification of Hyperspectral Images Based on Extended Label Propagation and Rolling Guidance Filtering

Semi-supervised classification methods result in higher performance for hyperspectral images, because they can utilize the relationship between unlabeled samples and labeled samples to obtain pseudo-labeled samples. However, how generating an effective training sample set is a major challenge for se...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Binge Cui, Xiaoyun Xie, Siyuan Hao, Jiandi Cui, Yan Lu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2018-03-01
Edice:	Remote Sensing
Témata:	spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph hyperspectral image
On-line přístup:	http://www.mdpi.com/2072-4292/10/4/515
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!