Hyperspectral extensions in the MuSES signature code

Wellesley Pereira; David Less; Leonard Rodriguez; Allen Curran; Uri Bernstein; Yit-Tsi Kwan

doi:10.1117/12.783933

11 April 2008 Hyperspectral extensions in the MuSES signature code

Wellesley Pereira, David Less, Leonard Rodriguez, Allen Curran, Uri Bernstein, Yit-Tsi Kwan

Proceedings Volume 6965, Modeling and Simulation for Military Operations III; 69650B (2008) https://doi.org/10.1117/12.783933
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available