@article{clouse_krim_mendoza-schrock_2011, title={A Scaled, Performance Driven Evaluation of the Layered Sensing Framework Utilizing Polarimetric Infrared Imagery}, volume={8059}, ISSN={["1996-756X"]}, DOI={10.1117/12.886510}, abstractNote={The layered sensing framework, in application, provides a useful, but complex integration of information sources, e.g. multiple sensing modalities and operating conditions. It is the implied trade-off between sensor fidelity and system complexity that we address here. Abstractly, each sensor/source of information in a layered sensing application can be viewed as a node in the network of constituent sensors. Regardless of the sensing modality, location, scope, etc., each sensor collects information locally to be utilized by the system as a whole for further exploitation. Consequently, the information may be distributed throughout the network and not necessarily coalesced in a central node/location. We present, initially, an analysis of polarimetric infrared data, with two novel features, as one of the input modalities to such a system. We then proceed with statistical and geometric analyses of an example network, thus quantifying the advantages and drawbacks of a specific application of the layered sensing framework.}, journal={EVOLUTIONARY AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS V}, author={Clouse, Hamilton Scott and Krim, Hamid and Mendoza-Schrock, Olga}, year={2011} }
 @article{clouse_krim_sakla_mendoza-schrock_2011, title={Vehicle Tracking Through the Exploitation of Remote Sensing and LWIR Polarization Science}, volume={8160}, ISSN={["1996-756X"]}, DOI={10.1117/12.901556}, abstractNote={Vehicle tracking is an integral component in layered sensing exploitation applications. The utilization of a combination of sensing modalities and processing techniques provides better insight about a situation than can be achieved with a single sensing modality. In this work, several robust features are explored for vehicle tracking using data captured in a remote sensing setting. A target area is surveyed by a sensor operating capturing polarization information in the longwave infrared (LWIR) band. We here extend our previous work ([1]) to experimental analysis of several feature sets including three classic features (Stokes images, DoLP, the Degree of Linear Polarization, and AoP, the Angle of Polarization) and several geometry inspired features.1}, journal={POLARIZATION SCIENCE AND REMOTE SENSING V}, author={Clouse, Hamilton Scott and Krim, Hamid and Sakla, Wesam and Mendoza-Schrock, Olga}, year={2011} }