Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …

Shadow is one of the major problems in remotely sensed imagery which hampers the
accuracy of information extraction and change detection. In these images, shadow is …

Due to the block of high-rise objects and the influence of the sun's altitude and azimuth,
shadows are inevitably formed in remote sensing images particularly in urban areas, which …

Shadow detection and compensation on high-resolution orthophoto is one of the most
important tasks for ensuring the high quality of the radiometric balance of a digital …

Plant invasions can result in serious threats for biodiversity and ecosystem functioning.
Reliable maps at very‐high spatial resolution are needed to assess invasions dynamics …

Shadows not only reduce image quality but also interfere with image interpretation, and
accurate shadow extraction is the key to improving remote sensing image utilization …

Water stress caused by water scarcity has a negative impact on the wine industry. Several
strategies have been implemented for optimizing water application in vineyards. In this …

Shadow extraction is an important and challenging task in remote sensing image analysis
because the presence of shadows not only reduces radiation information but also affects the …

Remote sensing images provide a valuable source of information about the earth's surface.
The presence of shadow can reduce the amount of information that can be extracted from …

Nowadays, high resolution aerial images are widely available thanks to the diffusion of
advanced technologies such as UAVs (Unmanned Aerial Vehicles) and new satellite …