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Open AccessTechnical Note

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

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
2
Dezhou Tianhe Benan Electric Power Technology Co., Ltd., Dezhou 253000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(14), 1642; https://doi.org/10.3390/rs11141642
Received: 8 June 2019 / Revised: 8 July 2019 / Accepted: 8 July 2019 / Published: 10 July 2019
(This article belongs to the Special Issue Remote Sensing for Target Object Detection and Identification)
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Abstract

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. View Full-Text
Keywords: hazard prevention; flood hazard; hidden danger identification; tower failure hazard prevention; flood hazard; hidden danger identification; tower failure
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Liu, L.; Du, R.; Liu, W. Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images. Remote Sens. 2019, 11, 1642.

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