Mapping of Individual Oil Palm Trees Using Airborne Hyperspectral Sensing: An Overview

This overview represents a preamble step for developing an approach for mapping individual oil palm trees fromairborne hyperspectral imaging. The study generally describes airborne hyperspectral sensors in different fieldsparticularly in agriculture by comparing and analyzing their uniqueness for different applications. The emphasis is onthe image processing in identifying and mapping of the individual oil palm trees with the utilization of imagehistogram to examine the RGB bands. An algorithm is design to discover the involvement of different materials in asingle mixed pixel and converting it into a pure pixel. The techniques employ in this connection are Linear SpectralMixture Analysis (LSMA), Mix to Pure Converter (MPC) and Euclidean Norm.