Author:Debba, PraveshDate:Oct 2008This is a presentation of a statistical method for deriving optimal spatial sampling schemes. The research focuses on ground verification of minerals derived from hyperspectral data. Spectral angle mapper (SAM) and spectral feature fitting ...Read more
Author:Lunga, D; Prasad, S; Crawford, M; Ersoy, ODate:Aug 2013Advances in hyperspectral sensing provide new capability for characterizing spectral signatures in a wide range of physical and biological systems, while inspiring new methods for extracting information from these data. Hyperspectral image ...Read more
Author:Lunga, D; Prasad, S; Crawford, M; Ersoy, ODate:Jan 2014Interest in manifold learning for representing the topology of large, high dimensional nonlinear data sets in lower, but still meaningful dimensions for visualization and classification has grown rapidly over the past decade, and particularly ...Read more
Author:Cho, Moses A; Mathieu, Renaud SA; Debba, PraveshDate:Aug 2009Differences in within-species phenology and structure driven by factors including topography, edaphic properties, and climatic variables across the landscape present important challenges to species differentiation with remote sensing. The ...Read more
Author:Debba, Pravesh; Cho, Moses A; Mathieu, Renaud SADate:Aug 2009This paper uses simulated annealing and focus on the spectral angle mapper (SAM), to demonstrate how the separability of two mean spectra from different species can be increased by choosing the bands that maximize the metric. It is known that ...Read more
Author:Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FDDate:Aug 2009This research discusses a novice method for sampling geochemicals to characterize mine tailings. Researchers model the spatial relationships between a multi-element signature and abundance estimates of secondary iron-bearing minerals in mine ...Read more