A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction

2019 ◽  
Vol 51 (1) ◽  
pp. 515-542 ◽  
Author(s):  
Li Li ◽  
Hongwei Ge ◽  
Jianqiang Gao ◽  
Yixin Zhang ◽  
Yubing Tong ◽  
...  
Author(s):  
JIAN YANG ◽  
JING-YU YANG ◽  
ALEJANDRO F. FRANGI ◽  
DAVID ZHANG

In this paper, a novel image projection analysis method (UIPDA) is first developed for image feature extraction. In contrast to Liu's projection discriminant method, UIPDA has the desirable property that the projected feature vectors are mutually uncorrelated. Also, a new LDA technique called EULDA is presented for further feature extraction. The proposed methods are tested on the ORL and the NUST603 face databases. The experimental results demonstrate that: (i) UIPDA is superior to Liu's projection discriminant method and more efficient than Eigenfaces and Fisherfaces; (ii) EULDA outperforms the existing PCA plus LDA strategy; (iii) UIPDA plus EULDA is a very effective two-stage strategy for image feature extraction.


2019 ◽  
Vol 16 (5) ◽  
pp. 781-785 ◽  
Author(s):  
Zhikun Chen ◽  
Junjun Jiang ◽  
Chong Zhou ◽  
Xinwei Jiang ◽  
Shaoyuan Fu ◽  
...  

2011 ◽  
Vol 47 (24) ◽  
pp. 1320
Author(s):  
S.-S. Wu ◽  
Z.-S. Wei ◽  
J.-F. Lu ◽  
J.-Y. Yang

2012 ◽  
Author(s):  
HaiCheng Qu ◽  
Ye Zhang ◽  
Zhouhan Lin ◽  
Hao Chen

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