首页> 外文会议>23rd Symposium of the European Association of Remote Sensing Laboratories; Jun 2-5, 2003; Ghent, Belgium >Multiresolution Snakes for urban road extraction from Ikonos and Quickbird images
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Multiresolution Snakes for urban road extraction from Ikonos and Quickbird images

机译:从Ikonos和Quickbird图像提取城市道路的多分辨率蛇

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This article addresses the problem of street extraction in high resolution images from a topologically correct graph of the network. The extraction algorithm makes use of specific active contours (snakes) combined with a multiresolution analysis (MRA). The use of the MRA for computing the snake's energy enables to increase the convergence of the algorithm by minimizing the problem of noise (vehicles, ground markings,...). This phase is composed of two sequential steps: the extraction of street segments and the extraction of street intersections. Indeed, these two objects present too many differences in both topology and shape to be processed in the same way. Results of the street network extraction are presented in order to illustrate the different steps of the method and future prospects are exposed.
机译:本文解决了从网络的拓扑正确图中提取高分辨率图像中的街道的问题。提取算法结合了特定的活动轮廓(蛇形图)和多分辨率分析(MRA)。使用MRA计算蛇的能量可以通过最大程度地减少噪声(车辆,地面标记等)问题来提高算法的收敛性。此阶段由两个连续步骤组成:提取路段和提取路口。实际上,这两个对象在拓扑和形状方面都存在太多差异,无法以相同方式进行处理。提出了街道网络提取的结果,以说明该方法的不同步骤,并揭示了未来的前景。

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