Quantitative Assessment of CFRP-concrete Cylinders Using Synthetic Aperture Radar Images
Publication: Publication Date: 1 August 2017Testing Method: ,
A feature extraction algorithm is proposed to quantitatively assess the condition of intact and damaged carbon fiber reinforced polymer (CFRP)-wrapped concrete cylinders using synthetic aperture radar (SAR) images. The proposed algorithm converts SAR images into a simplified representation, based on the shape, size, and amplitude of SAR images. In this approach, the shape of scatterers in a SAR image is characterized by average Gaussian curvature (K), area ratio (R), and SAR amplitude (I), and is represented by a K-R-I curve. SAR images of intact and damaged CFRP-wrapped concrete cylinders were generated by a stripmap SAR imaging radar system (10.5 GHz) at various inspection angles (0°, 15°, 25°, 30°, 45°, and 60°). From our experimental result, it is found that the K-R-I representation of SAR images is capable of distinguishing damaged SAR images from intact ones at different inspection angles. Quantitative dissimilarity between the K-R-I curves of intact and damaged specimens is assessed by coefficient of correlation and compared with the signal-to-noise ratio (SNR) of SAR images. It is found that the dissimilarity of K-R-I curves is closely related to the SNR of SAR images, demonstrating the feasibility and potential of the proposed K-R-I representation.
- F. Bovolo and L. Bruzzone. IEEE Transactions on Geoscience and Remote Sensing 3:2963–2972 (2005).
- M. Mazzolena. Tyrrhenian Workshop Advances in Radar and Remote Sensing (TyWRRS), pp.1 00–105, Sept. 12–14, 2012.
- C.O. Dumitru and M. Datcu. IEEE Trans Geoscience and Remote Sensing 51(8):4591– 4610 (2013).
- P. Uprety and F. Yamazaki. IEEE Intl Geoscience and Remote Sensing Symposium (IGARSS), pp. 6829–6832, July 22–27, 2012.
- M. Sato, K. Takahashi, H. Liu, and C. Koyama. IEEE Intl Geoscience and Remote Sensing Symposium (IGARSS), pp. 2601–2604, July 13–18, 2014.
- T. Yu. ASCE Journal of Engineering Mechanics 137(8):547–560 (2011).
- C. Koyama, K. Takahashi, Y. Iitsuka, and M. Sato. Asia-Pacific Microwave Conference (APMC), pp. 1025–1027, Nov. 4–7, 2014.
- A.C. Kak and M. Slaney. Principles of Computed Tomographic Imaging. Society of Industrial and Applied Mathematics (2001).
- J.A. Kong. Electromagnetic Wave Theory. EMW Publishing, Cambridge, MA (2000).
- L. Tseng, J.A. Kong, and K-H. Ding. Scattering of Electromagnetic Waves, Theories and Applications. Wiley, New York (2000).
- M.D. Desai and W.K. Jenkins. IEEE Trans. on Image Processing, pp. 505–512 (October 1992).
- W.G. Carrara, R.M. Majewski, and R.S. Goodman. Spotlight Synthetic Aperture Radar: Signal Processing Algorithms. Artech House, Boston, MA (1995).
- M. Soumekh. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms. Wiley, New York (1999).
- J. McCorkle and M. Rofheart. Proceedings of SPIE. 2747: 25–36 (1996).
- S. Nilsson and L.-E. Andersson. Proceedings of SPIE. 3370: 62–72 (1998).
- E. Kreyszig. Differential Geometry. Dover, New York (1991).
- T. Yu and O. Buyukozturk. NDT&E International 41:10–24 (2008).
46 Page Views
0 PDF Downloads
0 Facebook Shares