11 April 2008 Hyperspectral extensions in the MuSES signature code
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Abstract
In recent years, military operations have seen an increasing demand for high-fidelity predictive ground target signature modeling in the hyperspectral thermal IR bands (2 to 25 μm). 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.
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Wellesley Pereira, Wellesley Pereira, David Less, David Less, Leonard Rodriguez, Leonard Rodriguez, Allen Curran, Allen Curran, Uri Bernstein, Uri Bernstein, Yit-Tsi Kwan, Yit-Tsi Kwan, } "Hyperspectral extensions in the MuSES signature code", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650B (11 April 2008); doi: 10.1117/12.783933; https://doi.org/10.1117/12.783933
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