Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …

ABSTRACT Three-dimensional (3D) reconstruction of a building can be facilitated by
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …

Automatic building extraction remains an open research topic in digital photogrammetry and
remote sensing. While many algorithms have been proposed for building extraction, none of …

This paper introduces a novel method for accurately calculating the upper biomass of single
trees using Light Detection and Ranging (LiDAR) point cloud data. The proposed algorithm …

Image spectral and Light Detection and Ranging (LiDAR) positional information can be
related through the orthophoto generation process. Orthophotos have a uniform scale and …

There has been growing demand for 3D modeling from earth observations, especially for
purposes of urban and regional planning and management. The results of 3D observations …

Existing approaches that extract buildings from point cloud data do not select the
appropriate neighbourhood for estimation of normals on individual points. However, the …

Light Detection And Ranging (LIDAR) is an important modality in terrain and land surveying
for many environmental, engineering and civil applications. This paper presents the …

Abstract 3D city models are built on the basis of photogrammetric data, especially laser
scanning (LS) data. Due to the increasing levels of accuracy required of 3D city models …

In this paper, we address the problem of generating building footprints using terrestrial laser
scanning from a Mobile Map** System (MMS). The MMS constitutes a fast and adapted …