Post-processing Techniques for Polarimetric Passive Millimeter Wave Imagery

Authors

  • L. Wu 1 School of Electronic and Optical Engineering Nanjing University of Science & Technology, Nanjing, 210094, China, 2 Ministerial Key Laboratory of JGMT Nanjing University of Science & Technology, Nanjing, 210094, China
  • J. Q. Zhu School of Electronic and Optical Engineering Nanjing University of Science & Technology, Nanjing, 210094, China
  • S. S. Peng School of Electronic and Optical Engineering Nanjing University of Science & Technology, Nanjing, 210094, China
  • Z. L. Xiao School of Electronic and Optical Engineering Nanjing University of Science & Technology, Nanjing, 210094, China
  • Y. K. Wang School of Electronic and Optical Engineering Nanjing University of Science & Technology, Nanjing, 210094, China

Keywords:

Millimeter wave passive imaging, polarimetric imaging, remote sensing

Abstract

Post-processing techniques for polarimetric passive millimeter wave (MMW) imagery are proposed to display imaging information comprehensively. Initially an image fusion method based on two-scale decomposition is proposed to realize polarimetric passive imagery fusion. The fusion rules are separately designed for base layer and detail layer to reconstruct weight maps. Then an improved technique for displaying polarization information through color is proposed to present polarization features simultaneously with unpolarized imagery. Experimental results demonstrate that the proposed post-processing techniques are capable of presenting more informative imagery.

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References

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Published

2021-07-25

How to Cite

[1]
L. Wu, J. Q. Zhu, S. S. Peng, Z. L. Xiao, and Y. K. Wang, “Post-processing Techniques for Polarimetric Passive Millimeter Wave Imagery”, ACES Journal, vol. 33, no. 05, pp. 512–518, Jul. 2021.

Issue

2018: Vol 33 Iss 5

Section

Articles