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This research presents a low-cost, noncontact automatic water-level assessment system for urban water channels on volcanic islands, utilizing deep learning techniques to analyze images captured by a fixed camera. The proposed method employs a novel color space, HLE, and a ResNeXt model, achieving a mean absolute error of 1.14 cm for water level estimation and successfully predicting future water levels with minimal errors. The study highlights the potential for improved flood risk assessment in urban areas

Author

lizeng.connect

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EN