The detection of slowly moving/stationary targets in a heavy-clutter environment is a challenging problem in a
surveillance system. Recent researches [1-3] illustrate that polarization diversity can provide a measure to detect the
symmetry of a target in inhomogeneous clutter, especially when discrimination by Doppler effects is not possible,
and detection performance could be further enhanced if the polarization of transmitted signal is optimally selected to
match the target polarimetric aspects. In this paper, we address the challenges of threat detection in inhomogeneous
clutter such as in the riverine wetland environment. Second, a local sequential polarimetric diversity algorithm
using dual (horizontal and vertical) polarizations is presented to calculate the singularity of polarization diversity for
potential threat detection. The singularity of polarization diversity is a measure to discriminate the difference (less
similarity) of targets from the neighborhood (background), which area can be decided by the size of the sliding
processing window. Next, a field test using a Vector Network Analyzer collected dual-polarized scatterings of
targets and accomplished a multiple frequency band (200 MHz - 18 GHz from UHF to Ku bands) threat
characterization and detection on the same stationary threats. Finally, we show the testing result using the local
sequential polarimetric diversity algorithm to detect potential threats in inhomogeneous environments.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.