scholarly journals Semi-Supervised classification of hyperspectral images using discrete nonlocal variation Potts Model

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Linyao Ge ◽  
Baoxiang Huang ◽  
Weibo Wei ◽  
Zhenkuan Pan
Keyword(s):  
Potts Model ◽  
Supervised Classification ◽  
Hyperspectral Images

scholarly journals Overview of Hyperspectral Image Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Wenjing Lv ◽  
Xiaofei Wang
Keyword(s):  
Supervised Classification ◽  
Hyperspectral Image ◽  
Unsupervised Classification ◽  
Hyperspectral Images ◽  
Hyperspectral Image Classification ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Good Classification ◽  
Semisupervised Classification

With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread. The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention. Many methods have achieved good classification results in the classification of hyperspectral images. This paper reviews the classification methods of hyperspectral images from three aspects: supervised classification, semisupervised classification, and unsupervised classification.

Kernel Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images

2016 ◽  
Vol 54 (6) ◽  
pp. 3410-3420 ◽  
Author(s):  
Frank de Morsier ◽  
Maurice Borgeaud ◽  
Volker Gass ◽  
Jean-Philippe Thiran ◽  
Devis Tuia
Keyword(s):  
Supervised Classification ◽  
Hyperspectral Images ◽  
Low Rank ◽  
Sparse Graph

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

2018 ◽  
Vol 10 (4) ◽  
pp. 515 ◽  
Author(s):  
Binge Cui ◽  
Xiaoyun Xie ◽  
Siyuan Hao ◽  
Jiandi Cui ◽  
Yan Lu
Keyword(s):  
Supervised Classification ◽  
Label Propagation ◽  
Hyperspectral Images
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