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

Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis
paradigm that defines and examines image-objects: groups of neighboring pixels that …

Recent landslide detection studies have focused on pixel-based deep learning (DL)
approaches. In contrast, intuitive annotation of landslides from satellite imagery is based on …

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

Building extraction is very essential in various urban dynamics like disaster management
and change detection, finding the estimated population, and so on. Building extraction from …

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

The automatic extraction of building outlines from high-resolution images is an important
and challenging task. Convolutional neural networks have shown excellent results …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

Inspired by the tremendous success of deep learning (DL) and the increased availability of
remote sensing data, DL-based image semantic segmentation has attracted growing interest …

Although several past studies proposed deep learning methods to extract pre-disaster
building footprints for post-disaster management using remote sensing techniques, building …