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Shadow is one of the basic features of remote sensing image, it expresses a lot of information of the object which is loss or interference, and the removal of shadow is always a difficult problem to r...
The shadows in optical remote sensing images are regarded as image nuisances in numerous applications. The classification and interpretation of shadow area in a remote sensing image are a challenge, b...
A cloud masking approach based on multi-temporal satellite images is proposed. The basic idea of this approach is to detect cloud and cloud shadow by using the difference reflectance values between cl...
With the rapid development of sensor networks and earth observation technology, a large quantity of high resolution remote sensing data is available. However, the influence of shadow has become increa...
Cloud-related shadows represent areas with low illumination conditions that affect remote sensing image quality. In this research, a wavelet-based image sharpening algorithm was developed to enhance s...
This paper first generalizes the significance and present research situation of the building shadow extraction and elimination method. Then, an approach of automatic extracting shadows of building fro...
In geographical information systems vector data has important applications in the analysis and management of virtual landscapes. Therefore, methods that allow combined visualization of terrain and geo...
Shadow detection plays an important role in digital aerial image processing. In this paper, shadow is treated as a special kind of image degradation. Shadow region commonly has lower brightness than n...
Shadow effects have drawn much attention by researchers with increasing use of high-resolution remote sensing images of urban areas. For correction or compensation to pixels that falling in shadow are...
Due to high object density and high proportion of shadow-covered areas, it is usually quite difficult to extract information in urban high-resolution airborne images from Leica Geosystems' airborne ...
This paper presents a methodology to automatically detect and remove the shadows in high-resolution urban aerial images for urban GIS applications. The system includes cast shadow computation, image...
The humid tropical region is always under partial or complete cloud covers. As a result, optical remote sensing images of this region always encounter the problem of cloud covers and associated shad...
hadow regions are very present in the high spatial resolution images, particularly in urban environment. Shades have negative effects. They strongly disturb the classical techniques of image analysi...
While high-resolution remote sensing images have increased application possibilities for urban studies, the large number of shadow areas has created challenges to processing and extracting informati...
Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital infor...

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