scholarly journals A Linear Recursive State of Power Estimation for Fusion Model Component Analysis with Constant Sampling Time

2021 ◽  
pp. ArticleID:210920
Author(s):  
Bowen Li ◽  
2021 ◽  
Vol 36 ◽  
pp. 102387
Author(s):  
Wenxin Chen ◽  
Cheng Xu ◽  
Manlin Chen ◽  
Kai Jiang ◽  
Kangli Wang

2021 ◽  
Vol 40 ◽  
pp. 102583
Author(s):  
Bowen Li ◽  
Shunli Wang ◽  
Carlos Fernandez ◽  
Chunmei Yu ◽  
Lili Xia ◽  
...  

2019 ◽  
Vol 24 ◽  
pp. 100758 ◽  
Author(s):  
M.J. Esfandyari ◽  
M.R. Hairi Yazdi ◽  
V. Esfahanian ◽  
M. Masih-Tehrani ◽  
H. Nehzati ◽  
...  

2019 ◽  
Vol 66 (2) ◽  
pp. 354-364 ◽  
Author(s):  
Hyeuknam Kwon ◽  
Wasim Q. Malik ◽  
Seward B. Rutkove ◽  
Benjamin Sanchez

2012 ◽  
Vol 500 ◽  
pp. 659-665
Author(s):  
Min Cao ◽  
Shan Shan Tan ◽  
Quan Fei Shen

After analysising the principle of nonsubsampled contourlet transform, the image fusion model based on HIS transform and nonsubsampled contourlet transform is proposed. By taking of ALOS image as an example, the image fusion of multi-spectral band and panchromatic band at the same time is carried out by different fusion methods such as the method combining HIS transform and nonsubsampled contourlet transform (NSCT), HIS transform fusion method, principal component analysis (PCA), Brovey and static wavelet transform (SWT). By calculating the quantitative evaluation indicators of the different fused image, it is conclued that the fusion effection of static wavelet transform fusion method and nonsubsampled contourlet transform fusion method is better than the common methods such as HIS transform, principal component analysis and Brovey. In particular, the image fusion effection of nonsubsampled contourlet transform method, which betterly maintains the image spectral information while improving image spatial resolution at the same time, is superior than the fusion evaluation of static wavelet transform fusion method.


Energy ◽  
2019 ◽  
Vol 176 ◽  
pp. 505-520 ◽  
Author(s):  
M.J. Esfandyari ◽  
V. Esfahanian ◽  
M.R. Hairi Yazdi ◽  
H. Nehzati ◽  
O. Shekoofa

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