基於影像的網格分析應用於CCTV觀測河川水位

Image-Based Grid Analysis Applied to CCTV Observing River Water Level

廖御廷(Yu-Ting Liao)

指導教授 ： 陳瑞發

淡江大學/工學院/資訊工程學系碩士班/碩士(2023年)

https://doi.org/10.6846/tku202300603

摘要

台灣每年豪雨頻繁，使河川水位驟升易造成洪水災害，因此即時監測河川水位對防洪工作來說至關重要。
本論文提出一種利用現有CCTV河川影像，透過影像二值化與網格化處理，來實現低成本與即時水位檢測的方法。即便影像缺乏水尺或者水尺數字模糊無法辨識的情境下，都能有效地估算當前的河流水位。透過現有CCTV與本論文之檢測河川水位的方法，擴大監測範圍以進一步提升防洪工作的覆蓋率，並有效降低洪水災害的風險。

關鍵字

水位監測 ； 虛擬水尺 ； 影像二值化 ； 網格化 ； ResNet50

並列摘要

Taiwan is frequently subjected to heavy rainfall each year, causing a sudden rise in river levels and potentially leading to flood disasters. Therefore, real-time monitoring of river levels is crucial for flood control work.
This thesis proposes a method that utilizes existing CCTV systems to achieve low-cost and real-time water level detection through image binarization and grid processing. Even in situations where the image lacks a water level gauge or the gauge numbers are too blurry to identify, this method can effectively estimate the current river water level. By using the existing CCTV and the river water level detection method proposed in this thesis, the monitoring range can be expanded, further enhanced the coverage of flood control work and effectively reducing the risk of flood disasters.

並列關鍵字

Water Level Monitoring ； Virtual Water Gauge ； Image Binarization ； Grid-based ； ResNet50

參考文獻

參考文獻

[1] L. -C. Kuo and C. -C. Tai, "Robust Image-Based Water-Level Estimation Using Single-Camera Monitoring," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, Art no. 5007611, doi: 10.1109/TIM.2022.3161691.

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[3] Z. Zhen, Z. Yang, L. Chongzheng, L. Huabao and Z. Jiabin, "Visual detection algorithm of water line based on feature fusion," 2019 14th IEEE International Conference on Electronic Measurement Instruments (ICEMI), Changsha, China, 2019, pp. 474-481, doi: 10.1109/ICEMI46757.2019.9101517.

[4] L. -C. Kuo and C. -C. Tai, "Implementation of Inverse Perspective Mapping for Camera-Vision Water-Level Measurements," 2020 International Computer Symposium (ICS), Tainan, Taiwan, 2020, pp. 348-351, doi: 10.1109/ICS51289.2020.00075.