Feature Extraction from Multi-modal Mobile Mapping Data
|dc.contributor.author||Borck, Michael Geoffery|
|dc.contributor.supervisor||Prof. Geoff West||en_US|
This thesis investigates many different feature extraction methods and machine learning algorithms for their usefulness in detecting objects from vehicle-based mobile mapping systems datasets. A comprehensive analysis using performances measures and graphical techniques are applied to identify the best combination of features and classifiers. A system was built enable users who are not programmers to manage image data and to customise their analyses by combining common data analysis tools to fit their needs.
|dc.title||Feature Extraction from Multi-modal Mobile Mapping Data||en_US|
|curtin.faculty||Science and Engineering||en_US|