Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

Building rooftop segmentation using deep learning techniques is a popular yet challenging
area of research in computer vision and remote sensing image processing. While recent …

Extracting building data from remote sensing images is an efficient way to obtain geographic
information data, especially following the emergence of deep learning technology, which …

Building extraction based on remote sensing images has been widely used in many
industries. However, state-of-the-art methods produce an incomplete segmentation of …

Geleneksel fotogrametriden farklı olarak, düşük maliyetli metrik olmayan dijital kameralarla
farklı yüksekliklerden ve farklı açılardan çekilmiş görüntü verilerinin toplanmasına olanak …

For dependent population, falls accident are a serious health issue, particularly in a situation
of pandemic saturation of health structures. It is, therefore, highly desirable to quarantine …

Illegal construction poses a safety hazard to both cities and people and affects the social
stability and long-term stability of the country. Therefore, it is important to detect illegal …

Extracting buildings from remote sensing imagery can serve many industries. Single-
category building extraction, however, has been unable to meet the actual needs of sectors …

Installing targets and measuring them as ground control points (GCPs) are time consuming
and cost inefficient tasks in a UAV photogrammetry project. This research aims to …

Buildings are the main body and essential elements of a city. The automatic, accurate, and
timely acquisition of their location, area, and change attributes is the starting point in many …