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

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...

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Bibliographic Details
Main Authors: Binge Cui, Xiaoyun Xie, Siyuan Hao, Jiandi Cui, Yan Lu
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
spectral-spatial classification
label propagation
superpixel
semi-supervised learning
rolling guidance filtering (RGF)
graph
hyperspectral image
Online Access:http://www.mdpi.com/2072-4292/10/4/515

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http://www.mdpi.com/2072-4292/10/4/515

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