We present experimental results obtained from a scanning passive W-band fully polarimetric imager. In addition to a conventional approach to polarimetric image analysis in which the Stokes I, Q, U, and V images were formed and displayed, we present an alternative method for polarimetric image exploitation based upon multivariate image analysis (MIA). MIA uses principal component analysis (PCA) and 2D scatter or score plots to identify various pixel classes in the image compared with the more conventional scene-based image analysis approaches. Multivariate image decomposition provides a window into the complementary interplay between spatial and statistical correlations contained in the data.
Revised: June 6, 2011 |
Published: May 1, 2011
Citation
Bernacki B.E., J.F. Kelly, D.M. Sheen, D.L. McMakin, J.R. Tedeschi, T.E. Hall, and B.K. Hatchell, et al. 2011.Phenomenology Studies Using a Scanning Fully Polarimetric Passive W-Band Millimeter Wave Imager. In Proceedings of the SPIE: Passive Millimeter-Wave Imaging Technology XIV, April 28, 2011, Orlando, FL, edited by DA Wikner and AR Luukanen, 8022, Paper No. 80220C. Bellingham, Washington:SPIE.PNNL-SA-78821.doi:10.1117/12.883545