In this paper, a general framework is proposed for live extraction of curvilinear structures
such as roads or ridges from airborne LiDAR raw data, in the scope of present and past man …

Anewdetectionandvisualizationtooltoinspec… prospection is introduced in this paper. It
allowsthe supervised extraction oflinear structures (ridge or hollow) from the 3D ground …

In this paper, a framework is proposed to extract forest roads from LiDAR (Light Detection
and Ranging) data in mountainous areas. For that purpose, an efficient and simple solution …

Airborne lidar has become a commercially viable remote sensing platform, and can provide
accurate elevation data about both topographic surfaces and non-terrain objects. Its …

This paper proposes a new framework for ground extraction and building detection in LiDAR
data. The proposed approach constructs the connectivity of a grid over the LiDAR point …

Automatic building extraction is a difficult object recognition problem due to a high
complexity of the scene content and the object representation. There is a dilemma to select …

Data sets of urban scenes collected from mobile groundbased LiDAR are dense and very
detailed. Automatic extraction of features and objects from such 3D data is desirable since it …

Lidar systems have been widely adopted for the acquisition of dense and accurate
topographic data over extended areas. The level of detail and the quality of the collected …

Automatic extraction of road features from LiDAR data is a fundamental task for different
applications, including asset management. The availability of updated and reliable models …

This paper considers a new method for building-extraction from LiDAR data. This method
uses multi-scale levelling schema or MSLS-segmentation based on differential …