Distribution of land cover has a profound impact on the climate and environment; mapping
the land cover patterns from global, regional to local scales are important for scientists and …

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

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 importance of landscape and heritage recording and documentation with optical remote
sensing sensors is well recognized at international level. The continuous development of …

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

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 …

Building model reconstruction from 3D point clouds has been investigated for several
decades with increasing interests. Building models represented by one or more parametric …

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 …

We present a fully automatic approach for reconstructing compact 3D building models from
large-scale airborne point clouds. A major challenge of urban reconstruction from airborne …

Abstract Geoinformation and Communication Technology (GeoICT) is being increasingly
adopted to foster urban sustainability and smart cities. Despite the burgeoning utilization of …