SUB PIXEL DETECTION OF OBSIDIAN AND POTTERY BY NASA SATELLITE AND AIRCRAFT DATA
We analyzed images of the study areas using spectral mixture analysis which characterizes mixed pixel spectra as linear combinations of reference spectra and shade. This approach incorporates the dominant factors that affect detectability, including: 1) the spectral contrast between the target and background materials, 2) the proportion of the target on the surface (relative to background), 3) the imaging system being used (bands, instrument noise, pixel size), and 4) the conditions under which the surface is being imaged (illumination, atmosphere). The surface area on the ground, represented by an image pixel, must have at least a certain fraction of exposed target to be detected. That fraction is the “detection threshold.”
For our research, we 1) determined the detection limits of obsidian and ceramic artifacts at the sub-pixel scale; 2) examined the influence of background, seasonal vegetation change and other on-site changes on the detectability of these artifact types; 3) established the instrumentation, spatial scale, and spectral bands needed to improve the detectability, and 4) tested predictions of new locations for obsidian artifacts at specific (spatial) densities in other image scenes and ground truthed these predictions.