Abstract

The polarization properties of thermal millimeter-wave emission capture inherent information of objects, e.g., material composition, shape, and surface features. In this paper, a polarization-based material-classification technique using passive millimeter-wave polarimetric imagery is presented. Linear polarization ratio (LPR) is created to be a new feature discriminator that is sensitive to material type and to remove the reflected ambient radiation effect. The LPR characteristics of several common natural and artificial materials are investigated by theoretical and experimental analysis. Based on a priori information about LPR characteristics, the optimal range of incident angle and the classification criterion are discussed. Simulation and measurement results indicate that the presented classification technique is effective for distinguishing between metals and dielectrics. This technique suggests possible applications for outdoor metal target detection in open scenes.

© 2016 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Multi-polarization passive millimeter-wave imager and outdoor scene imaging analysis for remote sensing applications

Yayun Cheng, Fei Hu, Hongfei Wu, Peng Fu, and Yan Hu
Opt. Express 26(16) 20145-20159 (2018)

C-curve feature of complex permittivity estimation based on multi-polarization measurements in passive millimeter-wave sensing

Yayun Cheng, Fei Hu, Yan Hu, Ziran Zhao, and Yingxin Wang
Opt. Lett. 44(15) 3765-3768 (2019)

Measured comparison of contrast and crossover periods for passive millimeter-wave polarimetric imagery

John P. Wilson, Christopher A. Schuetz, Charles E. Harrity, Stephen Kozacik, David L. K. Eng, and Dennis W. Prather
Opt. Express 21(10) 12899-12907 (2013)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (9)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (9)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription