Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban
expansion and densification processes reshape cities and, in particular, the third dimension …

Automated 3D reconstruction based on satellite images has become a research hotspot at
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …

Path loss prediction is essential for network planning in any wireless communication system.
For cellular networks, it is usually achieved through extensive received signal power …

One of the most challenging problems in precision agriculture is to correctly identify and
separate crops from the soil. Current precision farming algorithms based on artificially …

Modern optical satellite sensors enable high-resolution stereo reconstruction from space.
But the challenging imaging conditions when observing the Earth from space push stereo …

We propose a machine learning based approach for automatic 3D building reconstruction
and vectorization. Taking a single-channel photogrammetric digital surface model (DSM) …

Generative adversarial networks (GANs) have shown striking performances in computer
vision applications to augment virtual training samples (VTS). However, the VTS generating …

City models and height maps of urban areas serve as a valuable data source for numerous
applications, such as disaster management or city planning. While this information is not …

The Ming and Qing Dynasty type of official-style architecture roof can provide plenty of prior
knowledge relating to the structure and size of these works of architecture, and plays an …

Near-infrared (NIR) band is also one of the exciting wavelength ranges, besides optical
range, to the human visual perception system. The NIR band shares various attributes with …