使用二值图像分割算法自动检测结构

Collection of selected papers of the III International Conference on Information Technology and Nanotechnology Pub Date : 2019-01-01 DOI:10.18287/1613-0073-2019-2391-264-268

E. A. Dmitriev, A. Borodinov, A. Maksimov, S. Rychazhkov

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引用次数: 0

摘要

本文提出了一种用于航拍图像建筑物自动检测的二值分割算法。在深度神经网络之间进行实验，寻找在分割精度和训练时间方面最有效的模型。所有实验都是在莫斯科地区的图像上进行的，这些图像来自开放数据库。为建筑物自动检测找到了最优模型。

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Automatic detection of constructions using binary image segmentation algorithms

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.

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Collection of selected papers of the III International Conference on Information Technology and Nanotechnology

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