Simulation of the image generation process for CRISM spectrometer data

Hyperspectral near-infrared scenes have been simulated to analyze the contributions of surface minerals, atmosphere and sensor noise on images of Mars. Modeling the remote sensing process creates a means for independent analysis of the influence of the environment and instruments on detection accuracy of the surface composition. The system models surface reflectance based on laboratory sample spectra, creates atmospheric effects using DISORT, simulates the instrument response function using CRISM data files and adds instrument noise from thermal and other sources. The purpose of this work is understanding the hyperspectral remote sensing process to eventually enable elevated detection accuracy of minerals on the surface of Mars.