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  Identification of tree species based on UAV captured images

   Department of Computer Science

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  Dr H Wei, Prof J Ferryman, Dr G DiFatta  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species. It focuses on recovery of tree canopy profiles and further tree leaf shape in association with height information in tree species identification. Potential applications of the research cover forest‐monitoring for eco‐system analysis, forest growth modelling and fire risk assessment. The results of the research can also be used for city planning and forest management. Detecting drug plants from remotely sensed data may also fall in the application area.

Enquiries for further details contact: Dr Hong Wei ([Email Address Removed])

Computer Science (8) Mathematics (25)

Funding Notes

There is no funding associated with the PhD study. However applicants are encouraged to apply for funding from any funding bodies.

First degree in computer science, physics, engineering, and mathematics with 2:1 or abov. MSc degree in the relevant subject areas is desired.

Where will I study?

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