This paper applied the polarimetric filtering principle to Synthetic A
perture Radar (SAR) image sets in three possible polarimetric radar ch
annels and compared the resultant imagery. The polarimetric radar chan
nels in consideration here are Co-pol, Cross (X)-pol, and Matched (M)-
pol channels. Each channel has its own polarimetric characteristics fo
r imaging. Using the formulation of the contrast enhancement factors b
ased on the Stokes vector formalism, polarimetric enhanced images for
three channels are shown using NASA JPL DC-8 AIRSAR data sets (CC0045L
, Bonanza Creek, AK/USA). It is shown that the optimally enhanced Co-
and X-Pol channel images play a decisive role in imaging in a complex
featured background.