Hyperspectral scene simulation from the visible through the LWIR

Robert L. Sundberg; Alexander Berk; Steven Richtsmeier; Steven M. Adler-Golden; Raymond Haren

doi:10.1117/12.507936

2 February 2004 Hyperspectral scene simulation from the visible through the LWIR

Robert L. Sundberg, Alexander Berk, Steven Richtsmeier, Steven M. Adler-Golden, Raymond Haren

Proceedings Volume 5234, Sensors, Systems, and Next-Generation Satellites VII; (2004) https://doi.org/10.1117/12.507936
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

Spectral Sciences, Inc., in collaboration with NASA and AFRL, are developing a high fidelity model for hyperspectral image (HSI) simulation. The simulation is based on a Direct Simulation Monte Carlo (DSMC) approach for modeling topographic effects. Synthetic “ground-truth” is specified as surface and atmospheric property inputs, and it is practical to consider wide variations of these properties. The model includes treatment of land and ocean surfaces, 3D terrain and bathymetry, 3D surface objects, and effects of finite clouds with surface shadowing. The computed HSI data cubes can serve as both a surrogate for and a supplement to field validation data for algorithm development efforts or for sensor design trade-studies. The initial version of the software package developed in collaboration with NASA treated the reflective spectral domain from the visible to the SWIR. In this paper, we review the reflective spectral domain model and present our approach for extending the HSI scene simulation package into the thermal infrared. The model is demonstrated with a variety of Visible and LWIR scene simulations.

Citation Download Citation

Robert L. Sundberg, Alexander Berk, Steven Richtsmeier, Steven M. Adler-Golden, and Raymond Haren "Hyperspectral scene simulation from the visible through the LWIR", Proc. SPIE 5234, Sensors, Systems, and Next-Generation Satellites VII, (2 February 2004); https://doi.org/10.1117/12.507936

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