Abstract
Fresh data on artificial intelligence are presented in a new report. According to news reporting out of the University of Strathclyde by NewsRx editors, research stated, “This paper presents a data processing pipeline designed to extract information from the hyperspectral signature of unknown space objects.” Financial supporters for this research include European Space Agency. The news reporters obtained a quote from the research from University of Strathclyde: “The methodology proposed in this paper determines the material composition of space objects from single pixel images. Two techniques are used for material identification and classification: one based on machine learning and the other based on a least square match with a library of known spectra. From this information, a supervised machine learning algorithm is used to classify the object into one of several categories based on the detection of materials on the object. The behaviour of the material classification methods is investigated under non-ideal circumstances, to determine the effect of weathered materials, and the behaviour when the training library is missing a material that is present in the object being observed.”
NETL
NSTL