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arXiv · 2209.15084

Automatic satellite building construction monitoring

Insaf Ashrapov·Dmitriy Malakhov·Anton Marchenkov·Anton Lulin·Dani El-Ayyass
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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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Insaf Ashrapov, Dmitriy Malakhov, Anton Marchenkov, Anton Lulin, Dani El-Ayyass. 2022-09-29. Automatic satellite building construction monitoring. https://arxiv.org/abs/2209.15084

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