Automatic satellite building construction monitoring
This addresses the challenge of monitoring construction in hard-to-reach locations, but appears incremental as it combines existing methods.
The paper tackled the problem of interpreting satellite images for building construction monitoring by employing novel deep learning techniques, resulting in a unified pipeline that determines construction progress.
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.