Deep learning for the classification of water and bridges in Airborne Laser Scanner data

ACQUAL

Potential supervisors

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Spatial Engineering

This topic is adaptable to Spatial Engineering and it covers the following core knowledge areas:
  • Spatial Information Science (SIS)

Suggested Electives

Laser Scanning

Additional Remarks

Description

In general classes such as Buildings and Vegetation and Terrain are well classified. The classes Bridges and Water are more problematic, even for deep learning algorithms. But what is exactly the reason and how should be deal with these classes?

Objectives and Methodology

Key challenge in this research is to find out different strategies to improve the classification of water and bridges.

Further reading