As a significant application in aerial image, road mapping is still a difficult task since roads show complex features caused by the influence of spectral reflectance, shadows and occlusions. To achieve a satisfying result, a new method combing multiple road features and biased gradient vector flow (B-GVF) snake is studied in this paper. First, an exponential function is applied to fuse the color-based and structure-based measure for gaining the saliency maps which is viewed as the candidate region of B-GVF snake; Secondly, the initial road boundary is calculated from the candidate region using a region-growing algorithm, and then an gradient map is produced by an Gaussian filtering function; at last, a normally biased GVF external force is proposed for mapping road edges, which keeps the diffusion along the tangential direction of the isophotes and biases along the normal direction. Experimental results show that the proposed approach has the good performance in Completeness, Correctness, and F-measure comparing with other state-of-the-art methods.

中文翻译：

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基于多特征和B-GVF Snake的道路测绘

作为航空影像的重要应用，道路测绘仍然是一项艰巨的任务，因为道路由于光谱反射率、阴影和遮挡的影响而表现出复杂的特征。为了获得令人满意的结果，本文研究了一种结合多个道路特征和偏置梯度向量流（B-GVF）蛇的新方法。首先，应用指数函数融合基于颜色和基于结构的度量，以获得被视为B-GVF蛇的候选区域的显着图；其次，使用区域增长算法从候选区域计算初始道路边界，然后通过高斯滤波函数生成梯度图；最后，提出了一个通常偏置的 GVF 外力来映射道路边缘，使扩散沿等光体的切线方向保持，并沿法线方向偏置。实验结果表明，与其他最先进的方法相比，该方法在完整性、正确性和 F-measure 方面具有良好的性能。