Building roofs are crucial elements that must be extracted from satellite images for use in
services like updating geodatabases, risk analysis and rescue maps. The diversity and …

Detecting building rooftops with very high-resolution (VHR) images is an important issue in
many fields, including disaster management, urban planning, and climate change research …

In the dynamic urban landscape, understanding the distribution of buildings is paramount.
Extracting and delineating building footprints from high-resolution images, captured by …

The deep learning-based building extraction methods produce different feature maps at
different stages of the network, which contain different information features. The detailed …

Building extraction is significant for the intelligent interpretation of high-resolution remote
sensing images (HRSI). However, in some complex scenarios where the features of the …

Convolutional neural networks (CNN) have been developed for several years in the field of
extracting buildings from remote sensing images. Vision Transformer (ViT) has recently …

Mapping the terrain and the Earth's surface can be performed through non-contact
methoYes, that is correct. ds such as laser scanning. This is one of the most dynamic and …

In the process of preserving historical buildings in southern Fujian, China, it is crucial to
provide timely and accurate statistical data to classify the damage of traditional buildings. In …

Buildings are a fundamental component of the built environment, and accurate information
regarding their size, location, and distribution is vital for various purposes. The ever …