Yemeni Banknote Recognition Model based on Convolution Neural Networks

Author(s):  
Ahmed Y. A. Saeed ◽  
Abdulfattah E. Ba Alawi ◽  
Ahmed N. Hassan
2021 ◽  
Vol 48 (1) ◽  
pp. 100-115
Author(s):  
Denis M. Obolensky ◽  
Victoria I. Shevchenko ◽  
Olga V. Chengar ◽  
Elena N. Maschenko ◽  
Anastasia S. Soina

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.


2017 ◽  
Vol 6 (4) ◽  
pp. 15
Author(s):  
JANARDHAN CHIDADALA ◽  
RAMANAIAH K.V. ◽  
BABULU K ◽  
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