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

Building detection from very high resolution (VHR) optical remote sensing images, which is
an essential but challenging task in remote sensing, has attracted increased attention in …

As an important carrier of human productive activities, the extraction of buildings is not only
essential for urban dynamic monitoring but also necessary for suburban construction …

Buildings are the most striking artificial features, and extracting buildings becomes critical for
many service-providing agencies. Although improvements have been achieved, building …

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 detection from satellite multispectral imagery data is being a fundamental but a
challenging problem mainly because it requires correct recovery of building footprints from …

Automatic building extraction from satellite images, an open research topic in remote
sensing, continues to represent a challenge and has received substantial attention for …

Unmanned aerial vehicles (UAVs) provide a flexible and low-cost solution for the acquisition
of high-resolution data. The potential of high-resolution UAV imagery to create and update …

Rooftop solar deployments are an excellent source for generating clean energy. As a result,
their popularity among homeowners has grown significantly over the years. Unfortunately …

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 …