Thesis subject
MSc thesis topic: Individual tree detection and segmentation with Terrestrial Lidar point clouds of tropical forests
Point clouds of forests acquired with Terrestrial Laser Scanning (TLS) contain a wealth of information on tree structural properties. However, segmenting individual trees from the point clouds is time intense especially when complex tropical forests are investigated.
Background
Point clouds of forests acquired with Terrestrial Laser Scanning (TLS) contain a wealth of information on tree structural properties. However, segmenting individual trees from the point clouds is time intense especially when complex tropical forests are investigated.
Objectives and Research questions
- Review literature on state-of-the-art tree segmentation algorithms
- Co-registration (pre-processing) of TLS scan projects to form whole plot point clouds
- Application of (different) segmentation algorithm(s)
- Evaluation of segmentation results based on manually segmented trees
Requirements
- Scripting skills (e.g. R, Python, MatLab) are a preference
- Basic knowledge of Cloudcompare software Completion
- GRS-32306 Advanced Earth Observation
Literature and information
Expected reading list before starting the thesis research
- Raumonen, P., Casella, E., Calders, K., Murphy, S., Åkerblom, M., Kaasalainen, M., … Kaasalainen, M. (2015). MASSIVE-SCALE TREE MODELLING FROM TLS DATA. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, II-3/W4(March), 189–196.
Theme(s): Modelling & visualisation