Radar-infrared sensor track correlation algorithm based on neural network fusion system

Author(s):  
Prateek Nigam ◽  
Karabi Biswas ◽  
Sudesh Gupta ◽  
Yogeshver Khandagre ◽  
Ashutosh K. Dubey
2012 ◽  
Vol 629 ◽  
pp. 488-492
Author(s):  
Yan Jiao Zhao ◽  
Yu Xin Wang ◽  
Guo He ◽  
Hong Hua Zhao

A Soil Deformation Measurement System using OPENCV library and FFTW library in C++ was developed in this paper. The system applied camera calibration based on neural network and Fasst Fourier Transform (FFT) cross-correlation algorithm for Particle Image Velocimetry (PIV). It is used to obtain soil deformation data, such as displacements, velocity and strain, and visualize the deformation. Experiments show that this system could acquire deformation data from soil images accurately, efficiently and continuously, which provides a strong proof that image processing technology has practical significance and application value in the research field of geotechnical engineering.


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