2019-03-29
Nonlinear Distortion Correction for Single Pixel Conical Scanning Radiometric Imaging System at W-Band
By
Progress In Electromagnetics Research Letters, Vol. 83, 65-70, 2019
Abstract
Conical scanning radiometric imaging system is good at large field view but suffers from visual nonlinear distortion. The distortion is caused by azimuth and elevation sampling in sphere coordinate, especially for short range and large views. An outdoor experiment is carried out on a building, and the raw image is obtained with obvious distortion. The key to correct distortion is solving the range in relationship between sphere coordinate and Cartesian coordinate. For the a specific building, it is approximately treated as a plane object, and its height is assumed known to solve the range and parameters for plane fitting. Once the coordinates of all pixels are determined, the object is represented in Cartesian coordinate, and the nonlinear distortion is corrected. If any size information for object is unknown, an arbitrary plane is also competent for distortion correction. The difference is that the correcting result is a projection onto this plane instead of real location. However, the projection is also compatible with human vision.
Citation
Xuan Lu, Zelong Xiao, and Taiyang Hu, "Nonlinear Distortion Correction for Single Pixel Conical Scanning Radiometric Imaging System at W-Band," Progress In Electromagnetics Research Letters, Vol. 83, 65-70, 2019.
doi:10.2528/PIERL19011804
References

1. Yujiri, L., "Passive millimeter wave imaging," 2006 IEEE MTT-S International Microwave Symposium Digest, 98-101, 2006.
doi:10.1109/MWSYM.2006.249938        Google Scholar

2. Appleby, R., "Passive millimetre-wave imaging and how it differs from terahertz imaging," Philosophical Transactions of the Royal Society of London Series a Mathematical Physical and Engineering Sciences, Vol. 362, 379-392, 2004.
doi:10.1098/rsta.2003.1323        Google Scholar

3. Viegas, C., B. Alderman, J. Powell, H. Liu, H. Wang, and R. Sloan, "Millimeter wave radiometers for applications in imaging and nondestructive testing," 8th UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT), 1-4, 2015.        Google Scholar

4. Isiker, H., C. Ozdemir, and I. Unal, "Millimeter-wave band radiometric imaging experiments for the detection of concealed objects," 2015 IEEE Radar Conference, 23-26, 2015.
doi:10.1109/RadarConf.2015.7411847        Google Scholar

5. Chen, H.-M., S. Lee, R. M. Rao, M. A. Slamani, and P. K. Varshney, "Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing," IEEE Signal Processing Magazine, Vol. 22, No. 2, 52-61, 2005.
doi:10.1109/MSP.2005.1406480        Google Scholar

6. Cui, G., C. Zhao, H.Wu, X.Wei, and Z. Li, "Millimeter wave passive imaging system using reflector antenna," 2015 IET International Radar Conference, 1-5, 2015.        Google Scholar

7. Wang, W., A. E. Fathy, and X. Wang, "Novel antenna using substrate integrated waveguide for passive millimeter-wave focal plane array imaging," 2014 IEEE International Wireless Symposium, 1-4, 2014.        Google Scholar

8. Lukin, K. A., et al. "Coherent radiometric imaging in range-azimuth plane using antennas with beam synthesizing," 11th European Radar Conference, 45-48, 2014.        Google Scholar

9. Lee, D., S. Yeom, J. Son, and S. Kim, "Image segmentation of concealed objects detected by passive millimeter wave imaging," 2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves, 1-2, 2009.        Google Scholar

10. Kholmatov, A., et al. "Passive millimeter-wave band data acquisition setup and associated image processing techniques," 21st Signal Processing and Communications Applications Conference (SIU), 1-4, 2013.        Google Scholar

11. Lu, X., Z. Xiao, J. Xu, and H. Huo, "3D millimeter wave image by combined active and passive system," Progress In Electromagnetics Research L, Vol. 50, 7-12, 2014.
doi:10.2528/PIERL14090402        Google Scholar

12. Lu, X., F. Peng, G. Li, Z. Xiao, and T. Hu, "Object segmentation for linearly polarimetric passive millimeter wave images based on principal component analysis," Progress In Electromagnetics Research M, Vol. 61, 169-176, 2017.
doi:10.2528/PIERM17080804        Google Scholar

13. Lu, X., Z. Xiao, and J. Xu, "Linear polarization characteristics for terrain identification at millimeter wave band," Chinese Optics Letters, Vol. 12, No. 10, 1012011-1012015, 2014.        Google Scholar