Classification of Vegetation for Topographic Mapping from Full-Waveform Airborne Laser Scanning Data
Points extracted from full-waveform laser scanning data coloured by elevation.
The aim of Cici Alexander’s PhD project, sponsored by the Ordnance Survey, is to extract three-dimensional attributes of vegetation from the digitized return signals from Riegl LMS-Q560, a full-waveform airborne laser scanner. Cici’s study is currently looking at the level of classification that can be achieved from the attributes of points extracted by commercial software for waveform analysis, and the advantages of waveforms over discrete return point clouds. She expects also to explore whether more information about the attributes of vegetation can be extracted from the raw waveforms. This work is making use of SPLINT computing hardware, in the form of a Linux box explicitly provided in the PhD computing lab for Cici’s work.
Staff involvement:Kevin Tansey, Nick Tate, Sarah Smith-Voysey (University of Newcastle)