Institute of Geography
Topic
Point cloud classification using artificial intelligence (AI) methods
PhD. program
Physical Geography, Geoecology and Geoinformatics
Year of admission
2025
Name of the supervisor
Mgr. Miloš Rusnák, PhD.
Contact:
Receiving school
Faculty of Natural Sciences, Comenius University, Bratislava
Annotation
The aim is to classify the point cloud using machine and deep learning methods (AI) with a focus on vegetation. For vegetation detection, methods will be used to directly classify point clouds from LiDAR in the programming language Python using artificial intelligence methods in the TensorFlow libraries and training and test regions manually selected from measured point clouds. The work focuses on woody vegetation in riparian zones of watercourses with different classes of successional stages. A dynamic series of point cloud data will be used to understand the process of vegetation succession and to identify the spatiotemporal trajectories of vegetation at different successional stages (transition from succession to rejuvenation or stability). This PhD position offers a great opportunity to get involved in ongoing research projects.