Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 14; p. 1642
• Main Authors: Liu, Lianguang, Du, Rujun, Liu, Wenlin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.07.2019
• Subjects: Algorithms; Computer simulation; Decision making; Electric power; Electricity distribution; Fault lines; flood hazard; Flood hazards; Flood predictions; Flooding; Floods; Fuzzy logic; hazard prevention; Hazards; hidden danger identification; Image transmission; Inspections; International conferences; Landslides; monitoring; Noise; Object recognition; Optimization techniques; prediction; Radar imaging; Remote sensing; Satellite imagery; surface water; Synthetic aperture radar; tower failure; Transmission lines; Transmission towers; Unmanned aerial vehicles; Water bodies; Turkey; Tbilisi Georgia (country); China; Georgia (country)
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs11141642

Synthetic Aperture Radar (SAR) has been extensively used in the monitoring of natural hazards such as floods and landslides. Predicting whether natural hazards will cause serious harm to important facilities on the ground is an important subject of study. In this study, the distance between the water body and the tower and the flood ratio in the search area and the elevation are defined as the evaluation indicators of the flood hazard of the tower, indicating whether flooding will threaten the safety of the transmission line tower. Herein, transmission tower flood identification algorithms based on the center distance of the tower and the grid distance of the tower are proposed. SAR satellite image data of the flood with a resolution of 10 m are selected to prove the feasibility and effectiveness of the proposed fault identification algorithm. The simulation results show that the SAR satellite image data with a resolution of 10 m can identify the distance accuracy of the transmission tower flood hazard by up to 7 m, which can be used to identify the flood fault of the transmission line tower.