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:Dudeni, N; Debba, PraveshDate:Aug 2009Deterministic and stochastic measures of spectral similarity are essential for determining both the geometric characteristics of spectra and variability, respectively. Deterministic measures such as Spectral Angle Mapper (SAM) are useful in ...Read more
Author:Cho, Moses A; Debba, Pravesh; Mathieu, Renaud SA; Naidoo, Laven; Van Aardt, J; Asner, GDate:Nov 2010Differences in within-species phenology and structure are controlled by genetic variation, as well as topography, edaphic properties, and climatic variables across the landscape and present important challenges to species differentiation with ...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:Dudeni, N; Debba, Pravesh; Cho, Moses A; Mathieu, Renaud SADate:Aug 2009In vegetation spectroscopy, compositional information of leaves contained at band level or across the electromagnetic spectrum (EMS) and parts thereof, plays a huge rule in the analysis of spectra and their relations to the reflectance patterns ...Read more