Microwave imaging of objects hidden by non-penetrating obstacles using time reversal imaging technique

Author(s):  
Ce Zhang ◽  
Akira Ishimaru ◽  
Yasuo Kuga
2006 ◽  
Vol 55 (6) ◽  
pp. 1878-1884 ◽  
Author(s):  
Manuel Benedetti ◽  
Massimo Donelli ◽  
Anna Martini ◽  
Matteo Pastorino ◽  
Andrea Rosani ◽  
...  

2018 ◽  
Vol 60 (5) ◽  
pp. 1275-1280 ◽  
Author(s):  
Ayed R. AlAjmi ◽  
Mohammad A. Saed

2021 ◽  
Vol 7 ◽  
pp. 925-934
Author(s):  
Loukas Xanthos ◽  
Mehmet Yavuz ◽  
Ryutaro Himeno ◽  
Hideo Yokota ◽  
Fumie Costen

Author(s):  
Chiara Dachena ◽  
Alessandro Fedeli ◽  
Alessandro Fanti ◽  
Matteo B. Lodi ◽  
Matteo Pastorino ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
E. A. Jiya ◽  
N. S. N. Anwar ◽  
M. Z. Abdullah

Cracks in concrete or cement based materials present a great threat to any civil structures; they are very dangerous and have caused a lot of destruction and damage. Even small cracks that look insignificant can grow and may eventually lead to severe structural failure. Besides manual inspection that is ineffective and time-consuming, several nondestructive evaluation techniques have been used for crack detection such as ultrasonic technique, vibration technique, and strain-based technique; however, some of the sensors used are either too large in size or limited in resolution. A high resolution microwave imaging technique with ultrawideband signal for crack detection in concrete structures is proposed. A combination of the delay-and-sum beamformer with full-view mounted antennas constitutes the image reconstruction algorithm. Various anomaly scenarios in cement bricks were simulated using FDTD, constructed, and measured in the lab. The reconstructed images showed a high similarity between the simulation and the experiment with a resolution of λ/14 which enables a detection of cracks as small as 5 mm in size.


Author(s):  
Vincent Chatelee ◽  
Anthony Dubois ◽  
Iannis Aliferis ◽  
Jean-Yves Dauvignac ◽  
Christian Pichot ◽  
...  

2021 ◽  
Author(s):  
Snigdha Dange

This is the algorithm of time reversal reconstruction where a model of numerical of the problem of forward is functioned towards backwards in time of acoustics. There is an inventive imaging technique to image biomedical tissues which is also called photoacoustic imaging. In this paper, for photoacoustics imaging a time reversal reconstruction algorithm is proposed which is based on method of optimized support vector machine (SVM) interpolation, (PSO) particle swarm optimization. The images which are reconstructed from the algorithm are more exact than those of the process of interpolation of cubic convolution, interpolation of nearest neighbor and linear interpolation, whereas the numerical results are shown based on algorithm of time reversal, where it can provide quality with enough huge imaging resolution by usage of precisely less times of scan or measurements.


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