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A novel fuzzy based method for 3D buildings modelling in urban satellite imagery

机译:一种新颖的基于模糊的城市卫星影像3D建筑物建模方法

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In this paper a fuzzy based method for 3d modeling of tall buildings and towers using a single satellite image is addressed. Firstly vegetations based on green layer of image and amount of gradient and image intensity were filtered out. Afterwards, buildings are segmented based on the method presented in [13]. In the next step, according to the fuzzy membership functions, obtained from structural context, the roof of each building is segmented from building walls. To make a 3d model of buildings, the side of building walls that present their height is manually selected by the human operator. Other buildings are modeled by the set angle. To benchmark the algorithm it is applied to some images from Sydney, Australia. The experimental result shows that the method could efficiently model the buildings which have at least two sides obvious in the satellite image.
机译:本文通过了一种基于基于基于高层建筑和使用单个卫星图像的塔的模糊方法。首先滤出基于绿色图像和梯度和图像强度的量的植被。之后,基于[13]中提出的方法分割建筑物。在下一步中,根据从结构背景中获得的模糊隶属函数,每个建筑物的屋顶由建筑墙进行分段。为了制作建筑物的3D模型,建筑物墙的一侧由人工操作员手动选择其高度。其他建筑物由设定角度建模。为了基准,它应用于来自澳大利亚悉尼的某些图像。实验结果表明,该方法可以有效地模拟在卫星图像中具有至少两侧的建筑物。

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