Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …

In the last decades, 3D city models appear to have been predominantly used for
visualisation; however, today they are being increasingly employed in a number of domains …

As a list of remotely sensed data sources is available, how to efficiently exploit useful
information from multisource data for better Earth observation becomes an interesting but …

This paper provides an overview of existing literature on vessel/ship detection and
classification from optical satellite imagery. Although SAR (Synthetic Aperture Radar) is still …

The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …

The problem of effectively exploiting the information multiple data sources has become a
relevant but challenging research topic in remote sensing. In this article, we propose a new …

This paper proposes a novel framework for the fusion of hyperspectral and light detection
and ranging-derived rasterized data using extinction profiles (EPs) and deep learning. In …

The development of sustainable energy systems is very important to addressing the
economic, environmental, and social pressures of the energy sector. Globally, buildings …

Deep learning paradigm has been shown to be a very efficient classification framework for
many application scenarios, including the analysis of Light Detection and Ranging (LiDAR) …

Data fusion of hyperspectral and light detection and ranging (LiDAR) is conducive to obtain
more comprehensive surface information and thereby achieve better classification result in …