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[HTML][HTML] Extensibility of U-Net neural network model for hydrographic feature extraction and implications for hydrologic modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote Sensing, 2021 - mdpi.com
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …
被引用次数：29 相关文章

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote …, 2021 - agris.fao.org
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote …, 2021 - pubs.usgs.gov
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …
[PDF] academia.edu

[PDF][PDF] Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote Sens, 2021 - academia.edu
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling.

LV Stanislawski, EJ Shavers, S Wang… - Remote …, 2021 - search.ebscohost.com
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote …, 2021 - experts.illinois.edu
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote …, 2021 - search.proquest.com
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling.

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - 2021 - cabidigitallibrary.org
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …

[引用][C] Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang… - Remote …, 2021 - ui.adsabs.harvard.edu
Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and
Implications for Hydrologic Modeling - NASA/ADS Now on home page ads icon ads Enable …

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling

LV Stanislawski, EJ Shavers, S Wang, Z Jiang… - Remote …, 2021 - par.nsf.gov
Accurate maps of regional surface water features are integral for advancing ecologic,
atmospheric and land development studies. The only comprehensive surface water feature …