Vol. 83

Latest Volume
All Volumes
All Issues
2019-03-29

Nonlinear Distortion Correction for Single Pixel Conical Scanning Radiometric Imaging System at W-Band

By Xuan Lu, Zelong Xiao, and Taiyang Hu
Progress In Electromagnetics Research Letters, Vol. 83, 65-70, 2019
doi:10.2528/PIERL19011804

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
http://test.jpier.org/PIERL/pier.php?paper=19011804

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

    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

    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.

    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

    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

    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.

    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.

    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.

    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.

    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.

    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

    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

    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.