Autor:	Ashrapov, Insaf, Malakhov, Dmitriy, Marchenkov, Anton, Lulin, Anton, El-Ayyass, Dani
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 10 pages, 5 figures, 3 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2209.15084 Zobrazit plný text záznamu View this record from Arxiv