An Integrated Method for River Water Level Recognition from Surveillance Images Using Convolution Neural Networks

An Integrated Method for River Water Level Recognition from Surveillance Images Using Convolution Neural Networks

Water conservancy personnel usually need to know the water level by water gauge images in real-time and with an expected accuracy. However, accurately recognizing the water level from water gauge images is still a complex problem. This article proposes a composite method applied in the Wuyuan City,...

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Bibliographic Details
Main Authors:	Chen Chen, Rufei Fu, Xiaojian Ai, Chengbin Huang, Li Cong, Xiaohuan Li, Jiange Jiang, Qingqi Pei
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Remote Sensing
Subjects:	water level recognition hydrological monitoring deep learning computer vision
Online Access:	https://www.mdpi.com/2072-4292/14/23/6023

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