Building extraction from remote sensing (RS) images is a fundamental task for geospatial
applications, aiming to obtain morphology, location, and other information about buildings …

Rapidly developing remote sensing technology provides massive data for urban planning,
mapping, and disaster management. As a carrier of human productive activities, buildings …

In practical applications, different application fields have various requirements regarding the
precision and completeness of building extraction. Too low precision or completeness may …

The automatic extraction of buildings from high-resolution aerial imagery plays a significant
role in many urban applications. Recently, the convolution neural network (CNN) has gained …

Building information extraction utilizing remote sensing technology has vital applications in
many domains, such as urban planning, cadastral mapping, geographic information …

Extracting buildings accurately from very high-resolution (VHR) remote sensing imagery is
challenging due to diverse building appearances, spectral variability, and complex …

A significant amount of effort and cost is required to collect training samples for remote
sensing image classifications. The study of remote sensing and how to read multispectral …

There has been growing demand for 3D modeling from earth observations, especially for
purposes of urban and regional planning and management. The results of 3D observations …

Building extraction from airborne Light Detection and Ranging (LiDAR) point clouds is a
significant step in the process of digital urban construction. Although the existing building …

Accurate building extraction from remotely sensed data is difficult to perform automatically
because of the complex environments and the complex shapes, colours and textures of …