Paper
11 April 2008 Hyperspectral extensions in the MuSES signature code
Wellesley Pereira, David Less, Leonard Rodriguez, Allen Curran, Uri Bernstein, Yit-Tsi Kwan
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wellesley Pereira, David Less, Leonard Rodriguez, Allen Curran, Uri Bernstein, and Yit-Tsi Kwan "Hyperspectral extensions in the MuSES signature code", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650B (11 April 2008); https://doi.org/10.1117/12.783933
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Infrared signatures

Bidirectional reflectance transmission function

Hyperspectral imaging

Thermography

Image sensors

Thermal modeling

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