This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …

As a significant role for traffic management, city planning, road monitoring, GPS navigation
and map updating, the technology of road extraction from a remote sensing (RS) image has …

In this paper, a new two-step approach (detecting and pruning) for automatic extraction of
road networks from aerial images is presented. The road detection step is based on shape …

Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral map**: high …

We propose a new approach for automatic road extraction from aerial imagery with a model
and a strategy mainly based on the multi-scale detection of roads in combination with …

This paper deals with semi-automatic linear feature extraction from digital images for GIS
data capture, where the identification task is pe $ ormed manually on a single image, while a …

This article treats the possibility of using artificial neural networks for road detection from
high-resolution satellite images on a part of RGB Ikonos and Quick-Bird images from Kish …

This paper provides a hierarchical method for urban road extraction. It consists of (1)
obtaining the road region of interest from a VHR image,(2) hierarchically representing this …

This paper addresses the problem of unsupervised extraction of line networks (for example,
road or hydrographic networks) from remotely sensed images. We model the target line …

Urban road extraction has wide applications in public transportation systems and unmanned
vehicle navigation. The high-resolution remote sensing images contain background clutter …