Pose Estimation of Unresolved Targets using Polarimetric Imaging

Polarimetric remote sensing has demonstrated utility for improving contrast between man-made targets and complex backgrounds. More specifically, polarimetric signatures of man-made targets can be useful for cueing analysts in widearea search applications. However, taking the target cueing to the next level of identification and tracking may require tasking of other sensing modalities. We present research that aims to understand what pose information might be extracted from the polarimetric signatures of under-resolved targets. Through experimentally collected and simulated imagery, we examine the variation in target signatures with respect pose and the relative sensor position aiming to extend the intelligence value of polarimetric imagery.