Using Deep Learning for Automatic Water Stage Measurements-Reference-Cited by-同舟云学术

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Using Deep Learning for Automatic Water Stage Measurements

Published:2021-03 Issue:3 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Eltner Anette¹^ORCID,Bressan Patrik Olã²³^ORCID,Akiyama Thales⁴^ORCID,Gonçalves Wesley Nunes³⁴,Marcato Junior José⁴^ORCID

Affiliation:

1. Institute of Photogrammetry and Remote Sensing Technische Universität Dresden Dresden Germany

2. Federal Institute of Mato Grosso do Sul Jardim Brazil

3. Faculty of Computer Science Federal University of Mato Grosso do Sul Campo Grande Brazil

4. Faculty of Engineering, Architecture and Urbanism and Geography Federal University of Mato Grosso do Sul Campo Grande Brazil

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR027608

Reference38 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning

3. Robust Locally Weighted Regression and Smoothing Scatterplots

4. Internet of Things in Industries: A Survey

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