降雨遥感图像中道路积水深度报警测量方法研究

研究大范围降雨中道路积水深度的准确测量问题。由于不同区域的路况差别较大,降雨局部的不均匀分布也容易形成较大的差异,造成降水模型很难根据不同区域的差异进行动态调整,这就给传统的降水信号的准确传递带来了难度。造成不同区域的积水深度测控结构不准。为此,提出了一种基于最小二乘法的道路积水深度报警测量方法。在海量遥感图像中,利用最大熵方法提取与道路积水相关的图像,为道路积水深度报警测量提供基础数据。利用最小二乘法,进行道路积水深度报警测量。实验结果表明,这种算法提高了大范围降雨中道路积水深度报警测量的准确性。

Rainfall in remote sensing image water depth measuring method road alarm

The scope of water depth of rainfall road accurate measurement. Due to the different area road conditions are greatly different, rainfall local non-uniform distribution and easy to make a larger difference, cause precipitation model according to different area is difficult to the difference of dynamic adjustment, this will give the traditional precipitation signal accurate deliver brought the difficulty. Cause in different areas of the water depth to control structure. Therefore, this paper proposes a based on least square method water depth measuring method road alarm. In a deluge of remote sensing image, the maximum entropy methods of extraction and road of water related image, as the road water depth measuring data provided the basis of alarm. By the least square method, for road water depth alarm measurement. The experimental results show that the algorithm enhances the big range in the rain water depth road alarm measure accuracy.