Data acquisition and representation of leaves using digital close range photogrammetry for species identification

Abstract

The surveying technique of close-range Photogrammetry is based on an approach of representation of the image forming mechanism of photography and extract spatial information through computation on photos. This research used the fundamentals of close-range Photogrammetry and is applied to model leaves, measure the geometric model of leaf length and width and compare with the conventional measurement method. Ringed Automated Detection (RAD) coded target are applied in this research. RAD coded target offers automatic detection and matching of points across multiple photographs. The process has a better opportunity to execute with less error even in complex conditions. The process is much faster without worrying about the residual error. The research took two species of leaves, Jelutong leaf, dyera constulata species and Kulim leaf, scorodocarpus borneensis species. Three specimens are taken from each species to identify the shape size and range. These leaves are then taken in photographs and process the images using PhotoModeler software to extract the data.