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.