Abstract:
Accurate road network data for open-pit mine is crucial for the effective implementation of ore mining and transportation scheduling systems as well as the operation of u...Show MoreMetadata
Abstract:
Accurate road network data for open-pit mine is crucial for the effective implementation of ore mining and transportation scheduling systems as well as the operation of unmanned mining trucks. It is still a challenging task to accurately extract roads from open-pit mine because of their blurred boundaries and varying scales. Based on the characteristics of open-pit mine roads, we propose a local point feature enhancement network (LPFE-Net). The core of LPFE-Net is a point feature enhancement unit (PFE Unit) and a multiscale residual module. Among them, the PFE unit is used to fuse the key features of the neighboring points. The multiscale residual module superimposes the PFE unit to expand the perceptual field and uses multilevel residual connections to improve information flow and reduce model complexity. The experimental results show that the proposed LPFE-Net outperforms all the compared methods in the open-pit mine road extraction task while having a relatively fast extraction speed.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)