System and method for assessing structural damage in occluded aerial images

Abstract

A system and method for processing occluded aerial images of structures to assess structural damage is disclosed. The system employs a generative model that is trained on data created by adding occlusive features to clear aerial images. Both the clear images and their simulated occluded counterparts (image pairs) are inputted into the generative model as training data, and the model learns to recognize and discriminate patterns between the pairs. This process is fully automated and does not require manual labeling. Following training, the model is capable of receiving real (non-simulated) occluded images and generating a clarified image that can reveal structural details previously not apparent to automatically determine a damage classification for the property.

CPC Classifications