Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027608 |
Using deep learning for automatic water stage measurements | |
Anette Eltner; Patrik Olã; Bressan; Thales Akiyama; Wesley Nunes Gonç; alves; José; Marcato Junior | |
2021-02-15 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Image‐based gauging stations can allow for significant densification of monitoring networks of river water stages. However, thus far, most camera gauges do not provide the robustness of accurate measurements due to the varying appearance of water in the stream throughout the year. We introduce an approach that allows for automatic and reliable water stage measurement combining deep learning and photogrammetric techniques. First, a convolutional neural network (CNN), a class of deep learning, is applied to the segmentation (i.e., pixel classification) of water in images. The CNNs SegNet and fully convolutional network (FCN) are associated with a transfer learning strategy to segment water on images acquired by a Raspberry Pi camera. Errors of water segmentation with the two CNNs are lower than 3%. Second, the image information is transformed into metric water stage values by intersecting the extracted water contour, generated using the segmentation results, with a 3D model reconstructed with structure‐from‐motion (SfM) photogrammetry. The highest correlations between a reference gauge and the image‐based approaches reached 0.93, and average deviations were lower than 4 cm. Our approach allows for the densification of river monitoring networks based on camera gauges, providing accurate water stage measurements. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/315639 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Anette Eltner,Patrik Olã,Bressan,et al. Using deep learning for automatic water stage measurements[J]. Water Resources Research,2021. |
APA | Anette Eltner.,Patrik Olã.,Bressan.,Thales Akiyama.,Wesley Nunes Gonç.,...&Marcato Junior.(2021).Using deep learning for automatic water stage measurements.Water Resources Research. |
MLA | Anette Eltner,et al."Using deep learning for automatic water stage measurements".Water Resources Research (2021). |
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