The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial
pattern of impervious surfaces and the perviousness–imperviousness ratio, is significant to a …

Airborne light detection and ranging (LiDAR) has now become industry standard tool for
collecting accurate and dense topographic data at very high speed. These data have found …

Road markings are used to provide guidance and instruction to road users for safe and
comfortable driving. Enabling rapid, cost-effective and comprehensive approaches to the …

There are two main challenges when it comes to classifying airborne laser scanning (ALS)
data. The first challenge is to find suitable attributes to distinguish classes of interest. The …

Automatic extraction of roads from images of complex urban areas is a very difficult task due
to the occlusions and shadows of contextual objects, and complicated road structures. As …

Unmanned aerial vehicle (UAV) remote sensing has a wide area of applications and in this
paper, we attempt to address one such problem—road extraction from UAV-captured RGB …

In this paper, a novel framework for the automatic extraction of road footprints from airborne
LiDAR point clouds in urban areas is proposed. The extraction process consisted of three …

This paper presents a method for road extraction from lidar data based on SVM
classification. The lidar data are used exclusively to evaluate the potential in the road …

Airborne laser scanning (ALS) is a state-of-the-art technique for fast and accurate acquisition
of road network information. In this paper, an ALS data-based road extraction method, with …

Multispectral airborne laser scanning (ALS) data have recently become available. The
objective of this letter is to study the feasibility of these data for road map**-for road …