Automatic detection of constructions using binary image segmentation algorithms

Abstract

This article presents binary segmentation algorithms for buildings automatic detection on aerial images. There were conducted experiments among deep neural networks to find the most effective model in sense of segmentation accuracy and training time. All experiments were conducted on Moscow region images that were got from open database. As the result the optimal model was found for buildings automatic detection.