Urban areas predominantly consist of complex building structures, which are assembled of
multiple building sections. From very high resolution remote sensing imagery, not only roof …

Remote sensing (RS) instance segmentation is an important but challenging task due to
multi-oriented, densely arranged objects and lack of mask annotation. Compared with …

Deep learning is a powerful tool to extract both individual building and roof plane polygons.
But deep learning requires a large amount of labeled data. Hence, publicly available level of …

Remotely sensed Earth elevation data or digital surface model (DSM) typically contains both
terrain and above-ground information such as vegetation and man-made constructions …

The research on the distribution of rural buildings is one of the fundamental works of urban–
rural development in Vietnam. Adopting a Mask R-CNN deep learning framework and …

Urban areas present diverse architectural designs, posing challenges for semantic
segmentation and reconstruction tasks. The complexity arises from the presence of multiple …