一种改进的Ribbon snake遥感图像道路网自动生成算法

针对树木或高大建筑物遮挡以及噪声等因素造成道路提取结果不完整的现象，根据道路的几何特征，在Snake模型中加入道路宽度信息，构造Ribbon Snake模型。为了克服模型对内部参数依赖性较大、容易受到复杂背景干扰影响的不足，采用B样条曲线对道路的平滑性进行约束，与Ribbon Snake相结合建立道路提取算法，通过调节控制点的数目增强曲线的灵活性。从改进的B样条Ribbon Snake的道路网分割结果可以看出，分割的结果更加平滑，精度更高，对噪声具有更好的鲁棒性。

Improved Ribbon Snake algorithm for automatic road generation

In order to modify the incomplete road extraction caused by shadow, shelter and noise in high resolution remote sensing images, a Ribbon Snake model with width information was established based on the geometric characteristics of road. To overcome the great dependence of interior parameters and the easy being affected by the complex background of Ribbon Snake, a B-spline Ribbon Snake was constructed, where the smoothness of the Snake was implicit in the B-spline formulation and the flexibility of the Snake was adjusted by the number of control points. The road network segmentation results show that the improved B-spline Ribbon Snake can obtain a more accurate and smoother segmentation and is more robust to noise.