Airborne LiDAR Data

Airborne LiDAR data provides three-dimensional point cloud representations of the Earth's surface, enabling detailed analysis across diverse applications. Current research focuses on developing efficient and accurate algorithms, including deep learning models and optimal transport methods, for tasks such as building reconstruction, tree counting, and change detection. These advancements improve the automation and scalability of data processing, leading to more precise and timely information for applications in urban planning, forestry management, disaster response, and environmental monitoring. The unsupervised nature of many new approaches is particularly significant, reducing reliance on expensive and time-consuming data labeling.