Hyperspectral extensions in the MuSES signature code

In recent years, military operations have seen an increasing demand for high-fidelity predictive ground target signature modeling in the hyperspectral thenrial IR bands (2 to 25 mu m). Simulating hyperspectral imagery of large scenes has become a necessary component in evaluating ATR algorithms due to the prohibitive costs and the large volume of data amassed by multi-band imaging sensors. To address this need, MuSES (Multi-Service Electro-optic Signature code), a validated infrared signature prediction program developed for modeling ground targets, has been enhanced to compute bi-directional reflectance distribution radiances and atmospheric propagation hyperspectrally, and to generate hyperspectral image data cubes. In this paper, we present the extensions in MuSES and report on how the additional features have allowed MuSES to be integrated into the Infra-Red Hyperspectral Scene Simulation (IRHSS), a scene simulation tool that efficiently models sensor-weighted hyperspectral imagery of large IR synthetic scenes with full thermal interaction between the target and terrain.