Semisupervised Classification of PolSAR Image Incorporating Labels’ Semantic Priors

2020 ◽  
Vol 17 (10) ◽  
pp. 1737-1741 ◽  
Author(s):  
Biao Hou ◽  
Jiaojiao Guan ◽  
Qian Wu ◽  
Licheng Jiao
Keyword(s):  
Semisupervised Classification

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.

Semisupervised classification of hyperspectral images based on tri-training algorithm with enhanced diversity

2017 ◽  
Vol 11 (04) ◽  
pp. 1 ◽  
Author(s):  
Ying Cui ◽  
Guojiao Song ◽  
Xueting Wang ◽  
Zhongjun Lu ◽  
Liguo Wang
Keyword(s):  
Hyperspectral Images ◽  
Training Algorithm ◽  
Semisupervised Classification
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