Automated scene understanding from aerial imagery

This thesis examines the development of vision-based aerial image understanding systems. The proposed systems investigate different abstraction levels of visual features in aerial image processing tasks and adopts UAV forced landing site detection as the main application to examine the feasibility and robustness of the proposed systems. This thesis also proposes an efficient and novel visual feature to improve single image depth prediction performance especially for the depth estimation of small objects in a scene