Abstract
National University of Uzbekistan, Institute of Mathematics, 100095 Tashkent, UzbekistanAbstract. Discriminating tropical rainforest tree species is still a challenging task due to a vari-ety of species with high spectral similarityand duetoverylimited studies conducted in this area.Weareinvestigatingtheeffectofdiscretewavelettransform(DWT)onenhancingdiscriminationof tropical rainforest tree species. For this purpose, airborne imaging spectrometer for applica-tions (AISA) airborne hyperspectral data obtained from Malaysian’s rainforest area are used; sixtree species were selected from the study area. For comparison purposes, the performance ofDWT is compared with the original reflectance, first, and second derivative spectra by usingfive different spectral measure techniques. An overall discrimination accuracy of ∼74% isobtained with DWT using Euclidean distance, which outperforms the original reflectanceand first and second derivatives by ∼16.6, 11.9, and 22.1%, respectively. The results suggesta significant impact of the DWTapproach on improving tropical rainforest tree species discrimi-nation.
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