Abstract
Abstract. 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 remote sensing image processing. In this paper, it is mainly analyzes the characteristics and properties of shadows from the ghost image (traditional orthorectification). The DBM and the interior and exterior orientation elements of the image are used to calculate the zenith angle of sun. Then this paper combines the scope of the architectural shadows which has be determined by the zenith angle of sun with the region growing method to make the detection of architectural shadow areas. This method lays a solid foundation for the shadow of the repair from the ghost image later. It will greatly improve the accuracy of shadow detection from buildings and make it more conducive to solve the problem of urban large-scale aerial imagines.
Highlights
With the rapid development of space technology and remote sensing technology, The application of high resolution aerial image is more and more extensive
In the image, there are shadows of tall buildings, trees, etc., which restrict the effective use of aerial images.The shadow has serious influence on the automatic detection of the objects, image recognition and classification, image pattern matching, and affects the integrity of image digital information.In dynamic real-time monitoring, the shadow is more likely to make the target image and target fusion error
The 3D structure of the light source and scene is not easy to obtain, the limitations of these methods are large relatively.The second type is more universal, identifying shadows by analyzing the properties of shadows in terms of width, geometry and color.The second type of methods has a wide range of application.this kind of shadow detection method is still insufficient, which is a method of different features about the colour and the ability to adapt to the image of resolution is poor
Summary
With the rapid development of space technology and remote sensing technology, The application of high resolution aerial image is more and more extensive. In the image, there are shadows of tall buildings, trees, etc., which restrict the effective use of aerial images.The shadow has serious influence on the automatic detection of the objects, image recognition and classification, image pattern matching, and affects the integrity of image digital information.In dynamic real-time monitoring, the shadow is more likely to make the target image and target fusion error. In the middle and late twentieth Century a large number of domestic and foreign scholars began to work on processing the shadows of aerial images. These methods can be divided into two categories: one is based on the model and the other is based on the nature of the shadow. The method which is based on texture feature need to use the pixel digital number around it to calculate the result, the influence factors of shadow are numerous, different regions are different, some parameters are difficult. the selection of optimal threshold will affect the shadow detection; The method which
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