Research on Inversion Algorithm of the Power Transmission Corridor Information Based on Radar Ranging

As for the information theory of Energy Internet, image signal processing and deep learning theory are important theories to support the information communication system of Energy Internet. The application of advanced remote sensing technology, such as radar, makes the theoretical system of Energy Internet improved. Power line safety is an important factor to be considered in the power transmission corridor, and radar technology can be used to effectively monitor it. This study proposes an interferometric inversion method of wide-area vegetation elevation range information, using radar satellite polarization data, by the simulation data of polarization interferometric Synthetic Aperture Radar (PolInSAR), firstly. There are three kinds of algorithms compared and analyzed, that is, Digital Elevation Model (DEM) difference algorithms, coherent amplitude inversion algorithm, and coherent amplitude and phase joint inversion algorithm. The actual ALOS 1-PALSAR telemetry data in Hechi has inverted the height of vegetation with coherent amplitude and phase joint inversion algorithm. The result is 16m of the average vegetation height, which is in line with the height grade of local pines and firs species. Then, the distance of ground object points and power line points range between poles and towers is measured by Light Detection and Ranging (Lidar) technology, to determine the distance between components in the power transmission corridor and external objects. This can identify the vegetation invasion. In conclusion, this study has guiding significance for the threat of vegetation in distant and close range. The methods can be used as an effective means to monitor the safety and stability of power lines. It can provide the basis for the operation optimization strategy of power transmission corridors.