While most state-of-the-art instance segmentation methods produce binary segmentation
masks, geographic and cartographic applications typically require precise vector polygons …

Deep learning based methods have significantly boosted the study of automatic building
extraction from remote sensing images. However, delineating vectorized and regular …

While state of the art image segmentation models typically output segmentations in raster
format, applications in geographic information systems often require vector polygons. To …

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 …

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 …

In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …

Over the last few decades, building development has been recorded using hand-made
blueprints before CAD tools appeared and later with digital building plans. As a …

Large-scale and multi-annual maps of building rooftop area (BRA) are crucial for addressing
policy decisions and sustainable development. In addition, as a fine-grained indicator of …

In long-term Earth observation, change detection (CD) is a crucial and intricate task with
applications spanning diverse fields, including land resource planning and natural disaster …