High-definition (HD) map provides abundant and precise environmental information of the
driving scene, serving as a fundamental and indispensable component for planning in …

Abstract Three-dimensional (3D) building structures are vital to understanding urban
dynamics. Monocular remote sensing imagery is a cost-effective data source for large-scale …

Hyperspectral images (HSIs) can provide rich spectral–spatial information that has been
widely utilized in many fields, such as national defense, mineralogy, and agriculture. Most of …

We present PolyBuilding, a polygon Transformer for building extraction. PolyBuilding direct
predicts vector representation of buildings from remote sensing images. It builds upon an …

As a fundamental task for geographical information updating, 3D city modeling, and other
critical applications, the automatic extraction of building footprints from high-resolution …

This paper studies the problem of the polygonal mapping of buildings by tackling the issue
of mask reversibility, which leads to a notable performance gap between the predicted …

The acceleration of urbanization and the increasing demand for precise city planning have
made the extraction of buildings and roads from remote sensing images crucial. Deep …

In the field of building extraction, many convolutional neural network (CNN)-based methods
have been developed to solve the problem of the irregular boundaries in their predictions …

Building footprint extraction in remote sensing remains challenging due to the diverse
appearances of buildings and confusing scenarios. Recently, researchers have revealed …

Abstract 3D building reconstruction from monocular remote sensing imagery is an important
research problem and an economic solution to large-scale city modeling, compared with …