LiDAR Data Analysis

Roberto M Dyke


Supervised by Yukun Lai; Moderated by Paul L Rosin

LiDAR is a remote sensing technology that measures distances using laser reflection analysis. It is getting more and more popular in various subjects such as earth sciences to obtain digital representations of the landscape. Such studies help to understand and monitor the change of landscape over time. The resulting data from LiDAR is typically a large-scale 3D point cloud along with image textures. While the use of LiDAR is getting popular in earth sciences, the data analysis is still largely manual. The aim of the project is to make initial investigation of developing an automatic or semi-automatic prototype system that analyses LiDAR data to extract useful information effectively, e.g. to analyse rock layers from cliffs and analyse river banks and vegetation in the area. To achieve this goal, various image and point cloud processing techniques will be adapted.

Initial Plan (31/01/2016) [Zip Archive]

Final Report (06/05/2016) [Zip Archive]

Publication Form