Three-dimensional (3-D) urban models are an integral part of numerous applications, such
as urban planning and performance simulation, mapping and visualization, emergency …

The level of detail (LOD) concept of the OGC standard CityGML 2.0 is intended to
differentiate multi-scale representations of semantic 3D city models. The concept is in …

Abstract Three-dimensional (3D) building roof reconstruction from airborne LiDAR point
clouds is an important task in photogrammetry and computer vision. To automatically …

In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

A novel approach by integrating multi-view aerial imagery and lidar data is proposed to
reconstruct 3D building models with accurate geometric position and fine details. First, a …

The production and dissemination of semantic 3D city models is rapidly increasing
benefiting a growing number of use cases. However, their availability in multiple LODs and …

In addition to aerial imagery, point clouds are important remote sensing data in urban
environment studies. It is essential to extract semantic information from both images and …

Creating photorealistic building models from large-scale airborne point clouds is an
important aspect of urban modeling. Given the complexity of airborne points (ie, noise …

One of the simplest methods to construct a 3D city model is to extrude building footprints to
obtain 'block-shaped'polyhedra representing buildings. Although the method is well known …

A novel fuzzy C-mean (FCM) algorithm is proposed for use when active or structured light
patterns are projected onto a scene. The underlying inhomogeneous illumination intensity …