Multi-resolution reconstruction of longitudinal streambed footprints using embedded sparse convolutional autoencoders

•Embedded convolutional autoencoders (CAEs) for multi-resolution reconstruction of streambed footprints as heatmaps.•Three CAEs are trained for double-upsampling, enhancing spatial and data measurement resolution using transfer learning.•Convolutional block attention modules (CBAM) and adaptive trai...

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Bibliographic Details

Published in:	Journal of hydrology (Amsterdam) Vol. 654; p. 132852
Main Authors:	Yang, Yifan, Tang, Zihao, Shao, Dong, Xu, Zhonghou
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2025
Subjects:	Convolutional autoencoder data quality geophysics hydrology Machine learning Multi-resolution reconstruction rivers stream channels Streambed footprint Streambed footprint Convolutional autoencoder Multi-resolution reconstruction Machine learning
ISSN:	0022-1694
Online Access:	Get full text
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