Research on the mutual correlation function of statistical characteristics of laser beam scattering fields form the target

2015 ◽  
Author(s):  
Ming-jun Wang ◽  
Xi-zheng Ke ◽  
Ying-le Li ◽  
Jiao Wang ◽  
Yan-jun Gong
2018 ◽  
Vol 7 (4.36) ◽  
pp. 37
Author(s):  
A.P. Velichko ◽  
S.F. Mirsaitov ◽  
A.B. Snedkov ◽  
P.O. Shishkov P.O. Shishkov

This article presents examples of  probing functions construction with a small width of autocorrelation function (a noise-like signal, a chirp signal) of long duration, which allows to obtain a reflectivity profile along a high resolution path. Attention is drawn to the fact that space in the process of probe pulse propagation returns to the receiver in an almost mutual correlation function of reflectivity and probe pulse. This approach opens up new possibilities for filtering signals and recognizing targets with appropriate selection and changing shape of the probe pulse right during measurements.


1987 ◽  
Vol 47 (3) ◽  
pp. 881-884
Author(s):  
I. S. Volkov ◽  
A. V. Volyar ◽  
L. M. Kuchikyan ◽  
M. E. Kondakov ◽  
V. N. Savchenko

2012 ◽  
Vol 79 (9) ◽  
pp. 545
Author(s):  
M. S. Egorov ◽  
S. V. Asanov ◽  
A. B. Ignatiev ◽  
Yu. A. Rezunkov ◽  
V. P. Savelyeva ◽  
...  

2014 ◽  
Vol 496-500 ◽  
pp. 2241-2245
Author(s):  
Jian Li Cao ◽  
Li Xu ◽  
Shan Shan Guo ◽  
De Xiang Ding

The automatic seamless image stitching technology is a new problem in the field of computer vision and pattern recognition. This paper brings forward a new seamless image stitching algorithm based on the mutual correlation which combines the least absolute value method with the gray value information. The gray characteristic value on the image edge is obtained and the minimum of correlation function is regarded as the matching points to realize image stitching, the effect of which in computer simulation is good.


2001 ◽  
Vol 9 (ASAT Conference, 8-10 May 2001) ◽  
pp. 1-17
Author(s):  
Fayed S. ◽  
Aly S. ◽  
Gouda R. ◽  
Borham A. ◽  
Azzam M. ◽  
...  

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