Terrain is considered one of the most essential natural geographic features and is a key
factor in physical processes. Geomorphometry and terrain analyses have provided a wealth …

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

In this work we address the task of the contextual classification of an airborne LiDAR point
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …

The study presented in this paper introduced a new fully automatic three-dimensional
building reconstruction method that can generate first level of detail (LoD 1) building models …

In the past two years, several applications of generating three-dimensional (3D) buildings
from OpenStreetMap (OSM) have been made available, for instance, OSM-3D, OSM2World …

For more than two decades, many efforts have been made to develop methods for extracting
urban objects from data acquired by airborne sensors. In order to make the results of such …

For more than two decades, many efforts have been made to develop methods for extracting
urban objects from data acquired by airborne sensors. In order to make the results of such …

Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …

The Smart Cities data and applications need to replicate, as faithfully as possible, the state
of the city and to simulate possible alternative futures. In order to do this, the modelling of the …

A framework for Orientation and Processing of Airborne Laser Scanning point clouds,
OPALS, is presented. It is designed to provide tools for all steps starting from full waveform …