The increasing availability of open geospatial data, such as building footprint vector data
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …

Many studies have been conducted to create building information models (BIMs) or city
information models (CIMs) as the digital infrastructure to support various smart city …

The remote estimation of a region's population has for decades been a key application of
geographic information science in demography. Most studies have used 2D data (maps …

Road detection plays key roles for remote sensing image analytics. Hough transform (HT) is
one very typical method for road detection, especially for straight line road detection …

3D building models with prototypical roofs are more valuable in many applications than 2D
building footprints. This research proposes a hybrid approach, combining the data-and …

This work proposes the use of a robust geometrical segmentation algorithm to detect
inherent shapes from dense point clouds. The points are first divided into voxels based on …

Power lines are extending to complex environments (eg, lakes and forests), and the
distribution of power lines in a tower is becoming complicated (eg, multi-loop and multi …

The intricate topography and numerous hazards of highland roads contribute to a
significantly higher incidence of traffic accidents on these roads compared to those on the …

Building extraction is one of the main research topics of the photogrammetry community.
This paper presents automatic algorithms for building boundary extractions from aerial …

Classification of airborne laser scanning (ALS) point clouds is needed in digital cities and 3-
D modeling. To efficiently recognize objects in ALS point clouds, we propose a novel …