The Hyperspectral Polarimetric Imaging Testbed contains a VNIR, SWIR, and three-axis imaging polarimeter, each operating simultaneously through a common fore-optic. The system was designed for the detection of man-made objects in natural scenes. The imagery produced by the various imaging legs of the system is readily fused, due to the identical image format, FOV and IFOV of each optical leg. The fused imagery is shown to be useful for the detection of a variety of man-made surfaces. This paper describes the general design and function of the mature system, the Stochastic Gaussian Classifier processing method used for hyperspectral anomaly detection, the polarimetric image processing methods, and a logical decision structure for the identification of various surface types. The paper will also describe in detail the detection results for a variety of targets obtained in field testing conducted with the system.© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.