Extracting building footprints from remotely sensed imagery has long been a challenging
task and is not yet fully solved. Obstructions from nearby shadows or trees, varying shapes …

Buildings and roads are the two most basic man-made environments that carry and
interconnect human society. Building and road information has important application value …

Automatic extraction of tailing ponds from Very High-Resolution (VHR) remotely sensed
images is vital for mineral resource management. This study proposes a Pseudo-Siamese …

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 …

As satellite imagery collections continue to grow at an astonishing rate, so is the demand for
automated and scalable object detection and segmentation. Scaling computational activities …

Building footprint is a key indicator of urban structures and economic development.
Automatic extraction of building footprint from very-high-resolution (VHR) remote sensing …

High-definition (HD) maps of building rooftops or footprints are important for urban
application and disaster management. Rapid creation of such HD maps through rooftop …

Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the
environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building …

Human encroachment into wildlands has resulted in a rapid increase in wildland–urban
interface (WUI) expansion, exposing more buildings and population to wildfire risks. More …

Accurate extraction of urban features such as buildings and roads lays the foundation for the
current trends of digital twins of urban systems to support planning, monitoring, navigation …