Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System
In recent years, algal blooms break out frequently and often accumulate in nearshore zones of eutrophic lakes and reservoirs, which seriously threaten regional water supply security. It is of great significance to grasp the status of algal blooms in key nearshore zones timely for the emergency preve...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/14/22/3728 |
| _version_ | 1797463792802594816 |
|---|---|
| author | Jia Liu Chunlin Xia Hui Xie Xiaodong Wang Yinguo Qiu |
| author_facet | Jia Liu Chunlin Xia Hui Xie Xiaodong Wang Yinguo Qiu |
| author_sort | Jia Liu |
| collection | DOAJ |
| description | In recent years, algal blooms break out frequently and often accumulate in nearshore zones of eutrophic lakes and reservoirs, which seriously threaten regional water supply security. It is of great significance to grasp the status of algal blooms in key nearshore zones timely for the emergency prevention and control of algal blooms. A video surveillance system provides a new method for achieving this goal. The results of algal-bloom monitoring in current research, however, are usually interfered by onshore vegetation for their similar textural features. Accordingly, there are great limitations in current works in terms of decision support for emergency prevention and control of algal blooms. To solve this problem, a binocular video surveillance system based an accurate monitoring method of algal blooms is proposed in this paper. Binocular images of monitoring areas are obtained periodically by exploiting the binocular video surveillance system, which is performed by a stereoscopic 3D reconstruction method to obtain the 3D point cloud data of monitoring areas. Afterward, water regions and non-water regions are intelligently discriminated according to the elevation characteristics of point clouds, and only the image data of the water regions are finally adopted for algal-bloom extraction. Thus, the influence of onshore vegetation on the extraction of algal blooms can be eliminated. The system was implemented and applied, and the experimental results show that the proposed method can eliminate effectively the interference of onshore vegetation on the extraction of algal blooms and improve significantly the accuracy of existing methods for algal-bloom monitoring based on video surveillance system. |
| first_indexed | 2024-03-09T17:55:45Z |
| format | Article |
| id | doaj.art-f4e6e60ba28844c389bca90acfd31e97 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T17:55:45Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-f4e6e60ba28844c389bca90acfd31e972023-11-24T10:22:03ZengMDPI AGWater2073-44412022-11-011422372810.3390/w14223728Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance SystemJia Liu0Chunlin Xia1Hui Xie2Xiaodong Wang3Yinguo Qiu4School of Surveying, Mapping and Geographical Sciences, Liaoning Technical University, Fuxin 123000, ChinaSchool of Surveying, Mapping and Geographical Sciences, Liaoning Technical University, Fuxin 123000, ChinaKey Laboratory of Watershed Geography, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaSchool of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232000, ChinaKey Laboratory of Watershed Geography, Chinese Academy of Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaIn recent years, algal blooms break out frequently and often accumulate in nearshore zones of eutrophic lakes and reservoirs, which seriously threaten regional water supply security. It is of great significance to grasp the status of algal blooms in key nearshore zones timely for the emergency prevention and control of algal blooms. A video surveillance system provides a new method for achieving this goal. The results of algal-bloom monitoring in current research, however, are usually interfered by onshore vegetation for their similar textural features. Accordingly, there are great limitations in current works in terms of decision support for emergency prevention and control of algal blooms. To solve this problem, a binocular video surveillance system based an accurate monitoring method of algal blooms is proposed in this paper. Binocular images of monitoring areas are obtained periodically by exploiting the binocular video surveillance system, which is performed by a stereoscopic 3D reconstruction method to obtain the 3D point cloud data of monitoring areas. Afterward, water regions and non-water regions are intelligently discriminated according to the elevation characteristics of point clouds, and only the image data of the water regions are finally adopted for algal-bloom extraction. Thus, the influence of onshore vegetation on the extraction of algal blooms can be eliminated. The system was implemented and applied, and the experimental results show that the proposed method can eliminate effectively the interference of onshore vegetation on the extraction of algal blooms and improve significantly the accuracy of existing methods for algal-bloom monitoring based on video surveillance system.https://www.mdpi.com/2073-4441/14/22/3728lakes and reservoirsnearshore zonealgal bloombinocular video surveillancestereoscopic 3D modeling |
| spellingShingle | Jia Liu Chunlin Xia Hui Xie Xiaodong Wang Yinguo Qiu Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System Water lakes and reservoirs nearshore zone algal bloom binocular video surveillance stereoscopic 3D modeling |
| title | Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System |
| title_full | Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System |
| title_fullStr | Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System |
| title_full_unstemmed | Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System |
| title_short | Accurate Monitoring of Algal Blooms in Key Nearshore Zones of Lakes and Reservoirs Using Binocular Video Surveillance System |
| title_sort | accurate monitoring of algal blooms in key nearshore zones of lakes and reservoirs using binocular video surveillance system |
| topic | lakes and reservoirs nearshore zone algal bloom binocular video surveillance stereoscopic 3D modeling |
| url | https://www.mdpi.com/2073-4441/14/22/3728 |
| work_keys_str_mv | AT jialiu accuratemonitoringofalgalbloomsinkeynearshorezonesoflakesandreservoirsusingbinocularvideosurveillancesystem AT chunlinxia accuratemonitoringofalgalbloomsinkeynearshorezonesoflakesandreservoirsusingbinocularvideosurveillancesystem AT huixie accuratemonitoringofalgalbloomsinkeynearshorezonesoflakesandreservoirsusingbinocularvideosurveillancesystem AT xiaodongwang accuratemonitoringofalgalbloomsinkeynearshorezonesoflakesandreservoirsusingbinocularvideosurveillancesystem AT yinguoqiu accuratemonitoringofalgalbloomsinkeynearshorezonesoflakesandreservoirsusingbinocularvideosurveillancesystem |