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21 August 2014 Monitoring of beach enteromorpha variation with near shore video
Yali Hu, Xinsheng Yu, Zhijin Yan, Weidong Yi
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Proceedings Volume 9233, International Symposium on Photonics and Optoelectronics 2014; 923302 (2014) https://doi.org/10.1117/12.2069494
Event: International Symposium on Photonics and Optoelectronics (SOPO 2014), 2014, Suzhou, China
Abstract
Beach is an important coastal protective barrier and tourism resources. Beach environment monitoring can help beach managers to make feasible decisions. Digital image of video monitoring technology can provide high resolution information of temporal and spatial variation of near shore in real time. The application of Video monitoring technology has been implemented in Qingdao’s Shilaoren beach. The clustering method based on Gaussian mixture model is applied to extract beach enteromorpha changs for the digital images. Analysis results show that, the period of enteromorpha in Qingdao’s Shilaoren beach was mainly from the early July to the mid-August in 2011, and the decline of enteromorpha is mainly associated with the rising temperature in the mid-August. Storm has significant impact on the beach enteromorpha. Tourists’ activity space on the beach will decrease due to the enteromorpha covering on the beach, which affects beach tourism activities. Therefore, it’s necessary to make preventive measures to avoid enteromorpha piling up on the beach, which is of great importance to the bathing beach environment and tourism development.
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Yali Hu, Xinsheng Yu, Zhijin Yan, and Weidong Yi "Monitoring of beach enteromorpha variation with near shore video", Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923302 (21 August 2014); https://doi.org/10.1117/12.2069494
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KEYWORDS
Video
Image segmentation
Cameras
Image processing
Expectation maximization algorithms
Imaging systems
Spatial resolution
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