Urbanization has amplified the importance of three‐dimensional structures in urban
environments for a wide range of phenomena that are of significant interest to diverse …

Automation in point cloud data processing is central in knowledge discovery within decision-
making systems. The definition of relevant features is often key for segmentation and …

Zero-shot learning (ZSL) is an approach to classify objects unseen during the training phase
and shown to be useful for real-world applications, especially when there is a lack of …

While cities around the world are looking for smart ways to use new advances in data
collection, management, and analysis to address their problems, the complex nature of …

With the development of effective deep learning algorithms, it became possible to achieve
high accuracy when conducting remote sensing analyses on very high-resolution images …

With the development of deep learning technology, an enormous number of convolutional
neural network (CNN) models have been proposed to address the challenging building …

Visualizing building assets within building information modeling (BIM) offers significant
opportunities in facility management as it can assist the maintenance and the safety of …

We are living in an urban age. The UN predicts that by 2050 around 68% of the global
population will live in urban areas [1]. Global urbanisation rates have distinct geographic …

Recent innovations in 3D processing and availability of geospatial data have contributed
largely to more comprehensive solutions to data visualization. As various data formats are …

The rendering of urban 3D scenes involves a large number of models. In order to render
scenes more efficiently, the main solution is to build a level of detail model (LOD). This may …