基于暗通道原理从单幅遥感影像估计山脉高程的方法

Mountain altitude extraction from single remote sensing image based on dark channel prior

根据单幅遥感图像估计高程信息可以应用于滑坡、泥石流等自然灾害的检测,因此,提出了一种基于暗通道原理的单幅遥感图像高程值提取算法,并对山脉的阴影部分进行了改进。运用了暗通道原理,同时给出了一种克服山脉阴影影响的解决策略。对大量山脉遥感图像进行了定量和定性分析,提出的算法能够得到较准确的山脉相对高程信息。综上所述,改进算法能够有效提取出包含阴影的单幅山脉遥感图像的高程信息。

The altitude information extracted from a single remote sensing image can be applied to detect the natural disaster, such as landslide or mud-rock flow. An approach based on dark channel prior was proposed for the altitude extraction from a single remote sensing image, which considers the influence of shadow. The approach was based on dark channel prior, and meanwhile a solution to overcome the effect of mountain shadow was given. The quantitative and qualitative analysis of a large number of mountain remote sensing images demonstrates that the proposed algorithm can obtain the accurate relative altitude information. In conclusion, the improved algorithm is effective for the extraction of the relative altitude from single remote sensing image of mountain with shadows.