基于三层DS-RVoG模型的输电走廊植被高度检测方法

Estimation Method for Vegetation Heights Under Transmission Line Corridors Based on Three-layer DS-RVoG Model

针对输电线路广域监测技术研究中,传统输电走廊植被高度检测方法效率低、检测范围小的问题,提出了一种基于三层DS-RVoG模型的输电走廊植被高度检测方法。根据极化干涉SAR原理及输电线路不同区段植被密度差异化特点,提出一种三层DS-RVoG植被模型。并基于该模型利用混合蛙跳算法改进三阶段算法反演植被高度,利用模拟极化干涉SAR数据,对比基于RVoG模型的三阶段算法反演结果验证了所提模型的有效性与准确性。利用高分3号卫星数据,选取四川某220 kV输电线路进行了应用分析。结果表明:不同密度区域样方检测树高值与实测树高值的决定系数最高为0.832,均方根误差最低为2.005 m,该方法能够实现输电走廊不同密度植被高度的检测,具有检测效率高、范围广的优势。

In view of the problems of low efficiency and small detection range of traditional vegetation height detection methods in the research of transmission line wide-area monitoring technology,a method for estimating the vegetation heights under transmission line corridors based on three-layer DS-RVoG model was proposed.Firstly,a three-layer DS-RVoG model was proposed based on the principle of polarimetric SAR interferometry and the difference in vegetation density in different segments of transmission lines.Then,based on the model,a shuffled frog leaping algorithm was used to improve three-stage algorithm so as to inverse the vegetation heights,and simulated polarimetric SAR interferometry data were generated.The effectiveness and accuracy of the model were verified by comparing with the inversion results of three-stage algorithm based on the RVoG model.Finally,using GF-3 satellite data,a 220 kV transmission line in Sichuan Province was selected for application analysis.The results show that,in different density areas,the highest determination coefficient between the estimated tree height and the measured tree height is 0.832,and the lowest root mean square error is 2.005 m.The proposed method can be applied to detect the heights of different density vegetation around transmission line corridors,and has the advantages of high detection efficiency and wide range.