Synthetic aperture radar (SAR) images provide all-weather and all-time capabilities for Earth
observation, which becomes highly beneficial in the field of intelligent remote sensing (RS) …

Building footprint segmentation from high-resolution remote sensing (RS) images plays a
vital role in urban planning, disaster response, and population density estimation …

Line segment extraction from point clouds is critical for analyzing and understanding large-
scale scenes. The main challenge is to generate line segments accurately as well as …

It is challenging to extract satisfactory building outlines from LiDAR data due to the
unorganized point cloud and complex building shapes. To solve the issues, a method using …

In spite of recent advances, a significant disparity between automatically reconstructed
building information models (BIMs) and real scenes persists, particularly within complex …

Building extraction is a fundamental research topic in remote sensing image interpretation.
Convolutional neural network (CNN)-based building extraction algorithms have achieved …

We propose a shape-preserving building model reconstruction method that involves
simplifying the original building mesh to accommodate various building shapes and …