In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …

Buildings are one of the most important habitats for humans, and therefore, accurate
identification and extraction of building information in remote sensing images are crucial …

The precise building extraction from high-resolution remote sensing images holds significant
application for urban planning, resource management, and environmental conservation. In …

Remote sensing images (RSI) of urban regions often exhibit shadows cast by buildings and
other objects, which may result in imprecise analysis and interpretation. Therefore, shadow …

Most studies on building height estimation using remote sensing imagery mainly focus on
urban buildings with relatively regular shape and relatively flat terrain, and pay little attention …

Through the increasing use of unmanned aerial vehicles as remote sensing tools, shadows
become evident in aerial imaging; this fact, alongside the higher spatial resolution obtained …

Shadow detection is a fundamental and challenging task, requiring understanding
accurately the visual semantic context of the shadow region and backgrounds. In this paper …

This paper proposes a shadow extraction method for GF-2 remote sensing images based on
Stacking. The method uses Multiple Linear Regression Model as the second layer model to …