Hyperspectral imagers simultaneously capture both spatial and spectral information; they are used in many areas, including target and feature detection, terrain classification, agricultural monitoring, and food processing. Hyperspectral imaging sensor simulation is essential to sensor developers because it reduces the need for expensive and time-consuming field tests. One important defense application is automatic target recognition (ATR), where hyperspectral sensor simulation can provide accurate simulated inputs for ATR algorithm development and evaluation.
TSC has developed a physics-based high-fidelity thermal IR multispectral/hyperspectral sensor simulation (IRHSS) that combines accurate modeling of targets and terrain features with the capability for handling large scene areas. IRHSS will generate accurate hyperspectral/multispectral imagery for a wide range of user-selected targets, terrain backgrounds, atmospheric conditions, and sensor models. The simulation incorporates a thermal/radiance model based on DoD’s MuSES, which is a standard for high-fidelity thermal modeling in both the defense and commercial sectors. The simulation also includes DoD’s MODTRAN atmosphere model, and a sensor model that can be configured for either multispectral or hyperspectral sensors.
IRHSS can be run as a standalone application or as a plug-in to existing software. Some screen pictures of the IRHSS GUI are shown below.
For more information please download the Hyperspectral Sensor Simulation Fact Sheet (PDF)