Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends

Q Weng - Remote Sensing of Environment, 2012 - Elsevier
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 LiDAR technology: A review of data collection and processing systems

B Lohani, S Ghosh - Proceedings of the National Academy of Sciences …, 2017 - Springer
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 …

Automated road markings extraction from mobile laser scanning data

P Kumar, CP McElhinney, P Lewis… - International Journal of …, 2014 - Elsevier
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 …

Multiple-entity based classification of airborne laser scanning data in urban areas

S Xu, G Vosselman, SO Elberink - ISPRS Journal of photogrammetry and …, 2014 - Elsevier
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 …

Road centerline extraction in complex urban scenes from LiDAR data based on multiple features

X Hu, Y Li, J Shan, J Zhang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …

Deep TEC: Deep transfer learning with ensemble classifier for road extraction from UAV imagery

J Senthilnath, N Varia, A Dokania, G Anand… - Remote Sensing, 2020 - mdpi.com
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 …

Extracting urban road footprints from airborne LiDAR point clouds with PointNet++ and two-step post-processing

H Ma, H Ma, L Zhang, K Liu, W Luo - Remote Sensing, 2022 - mdpi.com
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 …

Road extraction from lidar data using support vector machine classification

AA Matkan, M Hajeb… - … Engineering & Remote …, 2014 - ingentaconnect.com
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 …

A multi-constraint combined method for road extraction from airborne laser scanning data

M Yadav - Measurement, 2021 - Elsevier
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 …

Feasibility of multispectral airborne laser scanning data for road mapping

K Karila, L Matikainen, E Puttonen… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
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 mapping-for road …