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A Method of Survey on Object-Oriented Shadow Detection & Removal for High Resolution Urban Aerial Colour Images

机译:一种面向对象的高分辨率城市空中彩色图像阴影检测与去除方法

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High-resolution remote sensing images offer great possibilities for urban mapping. Unfortunately, shadows cast by buildings during this some problems occurred .This paper mainly focus to get the high resolution colour remote sensing image, and also undertaken to remove the shaded region in the both urban and rural areas. The region growing thresholding algorithm is used to detect the shadow and extract the features from shadow region. Then determine whether those neighbouring pixels are added to the seed points or not. In the region growing threshold algorithm, Pixels are placed in the region based on their properties or the properties of nearby pixel values. Then the pixels containing similar properties are grouped together and distributed throughout the image. IOOPL matching is used for removing shadow from image. This method proves it can remove 80% shaded region from image efficiently.
机译:高分辨率遥感影像为城市制图提供了极大的可能性。不幸的是,在此过程中出现了建筑物产生的阴影。本文主要着眼于获取高分辨率彩色遥感图像,并着手去除城乡地区的阴影区域。区域增长阈值算法用于检测阴影并从阴影区域提取特征。然后确定是否将那些相邻像素添加到种子点。在区域增长阈值算法中,基于像素的属性或附近像素值的属性将像素放置在区域中。然后,将包含相似属性的像素组合在一起并分布在整个图像中。 IOOPL匹配用于从图像中去除阴影。该方法证明了它可以有效地去除图像中80%的阴影区域。

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