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 …

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 …

In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

A significant proportion of high spatial resolution imagery in urban areas can be affected by
shadows. Considerable research has been conducted to investigate shadow detection and …

Surface water is vital resources for terrestrial life, while the rapid development of
urbanization results in diverse changes in sizes, amounts, and quality of surface water. To …

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 …

The analysis of rapid land cover/land use changes by means of remote sensing is often
based on data acquired under varying and occasionally unfavorable conditions. In addition …

Image shadow segmentation has become a major issue in satellite remote sensing because
of the recent commercial availability of high‐resolution images. Detecting shadows is …

In accordance with the characteristics of urban high-resolution color remote sensing images,
we put forward an object-oriented shadow detection and removal method. In this method …

Shadow correction is an important task in the analysis of high-resolution remote sensing
images, as the existence of shadows reduces radiometric information and causes the …