[HTML][HTML] Evaluating the performance of a new classifier–the GP-OAD: A comparison with existing methods for classifying rock type and mineralogy from hyperspectral …
S Schneider, RJ Murphy, A Melkumyan - ISPRS journal of photogrammetry …, 2014 - Elsevier
In this study, we compare three commonly used methods for hyperspectral image
classification, namely Support Vector Machines (SVMs), Gaussian Processes (GPs) and the …
classification, namely Support Vector Machines (SVMs), Gaussian Processes (GPs) and the …
A probablistic framework for classification and fusion of remotely sensed hyperspectral data
S Schneider - 2013 - ses.library.usyd.edu.au
Reliable and accurate material identification is a crucial component underlying higher-level
autonomous tasks within the context of autonomous mining. Such tasks can include …
autonomous tasks within the context of autonomous mining. Such tasks can include …