Semisupervised Classification With Adaptive Anchor Graph for PolSAR Images

Author(s):  
Xianyuan Wang ◽  
Zongjie Cao ◽  
Yiming Pi
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Wenjing Lv ◽  
Xiaofei Wang

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.


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

2018 ◽  
Vol 14 (3) ◽  
pp. 909-920 ◽  
Author(s):  
Di Wu ◽  
Xin Luo ◽  
Guoyin Wang ◽  
Mingsheng Shang ◽  
Ye Yuan ◽  
...  

2012 ◽  
Vol 31 ◽  
pp. 53-72 ◽  
Author(s):  
François Fouss ◽  
Kevin Francoisse ◽  
Luh Yen ◽  
Alain Pirotte ◽  
Marco Saerens

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