AD-RoadNet: An Auxiliary-Decoding Road Extraction Network Improving Connectivity While Preserving Multiscale Road Details

AD-RoadNet: An Auxiliary-Decoding Road Extraction Network Improving Connectivity While Preserving Multiscale Road Details

Obtaining Road information from high-resolution remote sensing images is gaining attention in intelligent transportation systems. Existing road extraction methods tend to improve road connectivity with graph convolution or global attention, however, ignore the damage of introduced excessive effectiv...

Full description

Bibliographic Details
Main Authors: Ziqing Luo, Kailei Zhou, Yumin Tan, Xiaolu Wang, Rui Zhu, Liqiang Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hybrid receptive field (RF)
multiscale road extraction
road connectivity
semantic segmentation
topological feature
Online Access:https://ieeexplore.ieee.org/document/10163787/

Internet

https://ieeexplore.ieee.org/document/10163787/

Similar Items