Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images
Piping is a major factor contributing to river embankment breaches, particularly during flood season in small and medium rivers. To reduce the costs of earth rock embankment inspections, avoid the need for human inspectors and enable the quick and widespread detection of piping hazards, a UAV image-...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/18/4492 |
| _version_ | 1797577215997640704 |
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| author | Renzhi Li Zhonggen Wang Hongquan Sun Shugui Zhou Yong Liu Jinping Liu |
| author_facet | Renzhi Li Zhonggen Wang Hongquan Sun Shugui Zhou Yong Liu Jinping Liu |
| author_sort | Renzhi Li |
| collection | DOAJ |
| description | Piping is a major factor contributing to river embankment breaches, particularly during flood season in small and medium rivers. To reduce the costs of earth rock embankment inspections, avoid the need for human inspectors and enable the quick and widespread detection of piping hazards, a UAV image-acquisition function was introduced in this study. Through the collection and analysis of thermal infrared and visible (TIR & V) images from several piping field simulation experiments, temperature increases, and diffusion centered on the piping point were discovered, so an automatic algorithm for piping identification was developed to capture this phenomenon. To verify the identification capabilities, the automatic identification algorithm was applied to detect potential piping hazards during the 2022 flooding of the Dingjialiu River, Liaoning, China. The algorithm successfully identified all five piping hazard locations, demonstrating its potential for detecting embankment piping. |
| first_indexed | 2024-03-10T22:04:58Z |
| format | Article |
| id | doaj.art-0a9a895fa7c742fdb6cd322fecca3129 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T22:04:58Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0a9a895fa7c742fdb6cd322fecca31292023-11-19T12:48:29ZengMDPI AGRemote Sensing2072-42922023-09-011518449210.3390/rs15184492Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible ImagesRenzhi Li0Zhonggen Wang1Hongquan Sun2Shugui Zhou3Yong Liu4Jinping Liu5National Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, ChinaSchool of Geo-Science and Technology, Zhengzhou University, Zhengzhou 450001, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of the People’s Republic of China, Beijing 100085, ChinaCollege of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaPiping is a major factor contributing to river embankment breaches, particularly during flood season in small and medium rivers. To reduce the costs of earth rock embankment inspections, avoid the need for human inspectors and enable the quick and widespread detection of piping hazards, a UAV image-acquisition function was introduced in this study. Through the collection and analysis of thermal infrared and visible (TIR & V) images from several piping field simulation experiments, temperature increases, and diffusion centered on the piping point were discovered, so an automatic algorithm for piping identification was developed to capture this phenomenon. To verify the identification capabilities, the automatic identification algorithm was applied to detect potential piping hazards during the 2022 flooding of the Dingjialiu River, Liaoning, China. The algorithm successfully identified all five piping hazard locations, demonstrating its potential for detecting embankment piping.https://www.mdpi.com/2072-4292/15/18/4492pipingthermal infrared and visible imagesautomatic identification algorithmearth rock embankment |
| spellingShingle | Renzhi Li Zhonggen Wang Hongquan Sun Shugui Zhou Yong Liu Jinping Liu Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images Remote Sensing piping thermal infrared and visible images automatic identification algorithm earth rock embankment |
| title | Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images |
| title_full | Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images |
| title_fullStr | Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images |
| title_full_unstemmed | Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images |
| title_short | Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images |
| title_sort | automatic identification of earth rock embankment piping hazards in small and medium rivers based on uav thermal infrared and visible images |
| topic | piping thermal infrared and visible images automatic identification algorithm earth rock embankment |
| url | https://www.mdpi.com/2072-4292/15/18/4492 |
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