Integrating deep learning (DL) with drone imagery offers transformative opportunities for infrastructure monitoring and environmental assessment. This presentation explores three key applications: detecting concrete delamination in bridges using thermal imagery, classifying land cover to generate 2D linework, and identifying change detection to recognize emerging hazards in frequently captured imagery. In the first application, thermal imaging combined with convolutional neural networks (CNNs) effectively identifies possible subsurface defects, enabling timely maintenance that enhances safety and extends the lifespan of critical structures. The second focus involves using DL to classify land cover types, converting complex aerial images into 2D linework for urban planning and resource management. Finally, we discuss change detection techniques to analyze imagery captured twice daily, facilitating rapid identification of potential hazards. This multifaceted approach enhances the accuracy and efficiency of data interpretation while supporting informed decision-making for infrastructure management and environmental monitoring. Attendees will gain insights into methodologies employed, challenges faced, and the potential for future advancements in DL applications for drone imagery. This session aligns with the conference theme of innovation in public works and aims to inspire further research and collaboration in leveraging technology for community resilience.

After this session, participants will be better able to:
• Explain how thermal imagery can effectively identify concrete delamination in bridges, enabling proactive maintenance strategies that enhance safety and prolong infrastructure life.
• Recognize how deep learning can help make their drone high-resolution imagery more powerful by extracting objects of interest and mapping them rapidly for assessment and monitoring purposes.
• Use flight plans to establish change detection and possible environmental hazard identification that could occur over time such as standing water, sinkhole identification, or debris.

Contributor/Source

Daniel Gwartney-Technical Manager, Jarrod Russell-Project Manager

Claim CEUs

Submit this form to claim CEUs.