论文标题
自动卫星建筑施工监测
Automatic satellite building construction monitoring
论文作者
论文摘要
卫星图像的有前途应用之一是建筑施工监测。即使在难以到达的地方，它也可以控制世界各地的建设进步。这种方法的主要障碍之一是对图像数据的解释。在本文中，我们采用了几种新颖的深度学习技术来解决这个问题。将各种图像分割和对象检测网络合并为统一的管道，然后将其用于确定建筑物的构建进度。
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.
