Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images
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 wate...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/11/14/1642 |
| _version_ | 1818958503168966656 |
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| author | Lianguang Liu Rujun Du Wenlin Liu |
| author_facet | Lianguang Liu Rujun Du Wenlin Liu |
| author_sort | Lianguang Liu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T11:26:47Z |
| format | Article |
| id | doaj.art-d479d59f48ad4419bc6f001089ca6cb9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T11:26:47Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d479d59f48ad4419bc6f001089ca6cb92022-12-21T19:42:21ZengMDPI AGRemote Sensing2072-42922019-07-011114164210.3390/rs11141642rs11141642Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR ImagesLianguang Liu0Rujun Du1Wenlin Liu2State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaDezhou Tianhe Benan Electric Power Technology Co., Ltd., Dezhou 253000, ChinaSynthetic 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.https://www.mdpi.com/2072-4292/11/14/1642hazard preventionflood hazardhidden danger identificationtower failure |
| spellingShingle | Lianguang Liu Rujun Du Wenlin Liu Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images Remote Sensing hazard prevention flood hazard hidden danger identification tower failure |
| title | Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images |
| title_full | Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images |
| title_fullStr | Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images |
| title_full_unstemmed | Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images |
| title_short | Flood Distance Algorithms and Fault Hidden Danger Recognition for Transmission Line Towers Based on SAR Images |
| title_sort | flood distance algorithms and fault hidden danger recognition for transmission line towers based on sar images |
| topic | hazard prevention flood hazard hidden danger identification tower failure |
| url | https://www.mdpi.com/2072-4292/11/14/1642 |
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