Automatic satellite building construction monitoring

• URL: http://arxiv.org/abs/2209.15084v1
• Date: Thu, 29 Sep 2022 20:26:16 GMT
• Title: Automatic satellite building construction monitoring
• Authors: Insaf Ashrapov, Dmitriy Malakhov, Anton Marchenkov, Anton Lulin and Dani El-Ayyass
• Abstract summary: One of the promising applications of satellite images is building construction monitoring. It allows to control the construction progress around the world even in the locations that are hard to reach. In this paper, we have employed several novel deep learning techniques to tackle the problem.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: One of the promising applications of satellite images is building construction monitoring. It allows to control the construction progress around the world even in the locations that are hard to reach. One of the main hurdles of this approach is the interpretation of the image data. In this paper, we have employed several novel deep learning techniques to tackle the problem. Various image segmentation and object detection networks were combined into a unified pipeline, which was then used to determine the building construction progress.

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