This paper proposes a novel method which models the road network as a sequence of connected spline curves.

Jul 29, 2024 · Road centerline extraction is the foundation for integrating the segmented road map from a remote sensing image into a geographic ...

Discover this 2022 paper in Remote Sensing by Xiao, Fanghong; Tong, Ling; Li, Yuxia; et. al. focusing on: ROAD maps; REMOTE sensing; OPTICAL radar; ...

Dive into the research topics of 'A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery'.

2016. A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery. F Xiao, L Tong, Y Li, S Luo, JA ...

An end-to-end regression network based on convolutional neural network is designed to learn and predict a road centerline confidence map.

A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery. Article. Full-text available. Apr 2022.

This research aims to improve the extraction of road centerlines using both very-high-resolution aerial images and light detection and ranging (LiDAR) by ...

A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery. Published in: Remote Sensing, 2022, v.

This paper attempts to provide a comprehensive survey on road extraction methods that use 2D earth observing images and 3D LiDAR point clouds.