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Object Oriented Shadow Detection and an Enhanced Method for Shadow Removal

机译:面向对象的阴影检测和增强的阴影去除方法

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Remote sensing technology derives information about the earth resources from satellite imagery. In urban areas, mainly the elevated objects are the reason for the appearance of shadows. Shadows are created as the light source has been blocked by something. Shadows lower the quality of images or it may affect the information provided by them. Thus for the correct image interpretation or to extract information it is important to detect shadow regions and restore them. Significant researches has been going on in finding the best shadow detection and removal methods. Many algorithms and methods had been developed so far. Most of them are based on pixel level shadow detection and removal. An object oriented shadow detection and removal resolves the shortcomings of pixel level detection. Existing object oriented method suffers from color casting of images even after the correction. A new method for shadow compensation by image inpainting resolves these color casting problem.
机译:遥感技术从卫星图像中获取有关地球资源的信息。在城市地区,主要是高架物体是出现阴影的原因。由于光源被某些物体阻挡,因此会产生阴影。阴影会降低图像质量,否则可能会影响图像提供的信息。因此,对于正确的图像解释或提取信息,检测阴影区域并将其恢复很重要。寻找最佳的阴影检测和去除方法的研究正在进行中。到目前为止,已经开发了许多算法和方法。它们大多数基于像素级阴影检测和去除。面向对象的阴影检测和消除解决了像素级检测的缺点。现有的面向对象的方法即使在校正之后也遭受图像的偏色。通过图像修复进行阴影补偿的新方法解决了这些色偏问题。

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