Abstract
Due to lack of widespread array imaging techniques in the THz range, point detector applications coupled with spatial modulation schemes are being investigated using compressive sensing (CS) techniques. CS algorithms coupled with innovative spatial modulation schemes which allow the control of pixels on the image plane from which the light is focused onto single pixel THz detector has been shown to rapidly generate images of objects. Using a CS algorithm, the image of an object can be reconstructed rapidly. Using a multiplied Schottky diode based multiplied millimeter wave source working at 113 GHz, a metal cutout letter F, which served as the target was illuminated in transmission. The image is spatially discretized by laser machined, 10 × 10 pixel metal apertures to demonstrate the technique of spatial modulation coupled with compressive sensing. The image was reconstructed by modulating the source and measuring the transmitted flux through the metal apertures using a Golay cell. Experimental results were compared to reference image to assess reconstruction performance using χ2 index. It is shown that a satisfactory image is reconstructed below the Nyquist rate which demonstrates that after taking into account the light intensity distribution at the image plane, compressive sensing is an advantageous method to be employed for remote sensing with point detectors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
T. Takan, V. A. Özkan, F. İdikut, İ. O. Yıldırım, A. B. Şahin and H. Altan, Compressive sensing imaging through a drywall barrier at sub-THz and THz frequencies in transmission and reflection modes, Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441N (2014)
W. L. Chan, J. Deibel, and D. M. Mittleman, “Imaging with terahertz radiation”, Reports on Progress in Physics 70(8), p. 1325 (2007)
K. Cooper, R. Dengler, N. Llombart, T. Bryllert, G. Chattopadhyay, I. Mehdi, and P. Siegel, “An approach for sub-second imaging of concealed objects using terahertz (thz) radar”, Journal of Infrared, Millimeter, and Terahertz Waves, 30(12), pp. 1297–1307 (2009)
N. Rothbart, H. Richter, M. Wienold, L. Schrottke, H. Grahn, and H.W. Hubers, “Fast 2-d and 3-d terahertz imaging with a quantum-cascade laser and a scanning mirror”, Terahertz Science and Technology, IEEE Transactions on 3(5), pp. 617–624 (2013)
D. Rozban, A. Levanon, H. Joseph, A. Akram, A. Abramovich, N. Kopeika, Y. Yitzhaky, A. Belenky, and O. Yadid-Pecht, “Inexpensive thz focal plane array imaging using miniature neon indicator lamps as detectors,” Sensors Journal, IEEE, 11(9), pp. 1962–1968 (2011)
D. Donoho, “Compressed sensing”, Information Theory, IEEE Transactions on, 52(4), pp. 1289–1306 (2006)
E. Candes, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information”, Information Theory, IEEE Transactionsions on, 52(2), pp. 489–509 (2006)
M. Duarte, M. Davenport, D. Takhar, J. Laska, T. Sun, K. Kelly, and R. Baraniuk, “Singlepixel imaging via compressive sampling”, Signal Processing Magazine, IEEE 25(2), pp. 83–91 (2008)
W. L. Chan, M. L. Moravec, R. G. Baraniuk, and D. M. Mittleman, \Terahertz imaging with compressed sensing and phase retrieval,” Opt. Lett. 33, pp. 974–976 (2008)
L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, pp. 259–268 (1992)
D. L. D. Scott Shaobing Chen and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM Review, 43(1), pp. 129–159 (2001)
Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, 13, pp. 600–612 (2004)
Y. Yitzhaky, E. Peli, “A method for objective edge detection evaluation and detector parameter selection”, in Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25(8), pp.1027–1033 (2003)
Acknowledgments
This project was funded under Turkish Ministry Of cience, Industry and Technology grant #0994STZ2011-2. The author would also like to acknowledge the support of COST MP1204 Action “Tera-MIR Radiation: Materials, Generation, Detection and Applications”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media B.V.
About this paper
Cite this paper
Özkan, V.A., Menteşe, Y., Takan, T., Şahin, A.B., Altan, H. (2017). Compressive Sensing Imaging at Sub-THz Frequency in Transmission Mode. In: Pereira, M., Shulika, O. (eds) THz for CBRN and Explosives Detection and Diagnosis. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1093-8_7
Download citation
DOI: https://doi.org/10.1007/978-94-024-1093-8_7
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-024-1092-1
Online ISBN: 978-94-024-1093-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)