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Bensheng Huang

As seen in: MDPI, Journal of Sensors
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Articles

A Reanalysis Precipitation Integration Method Utilizing the Generalized Three-Cornered Hat Approach and High-Resolution, Gauge-Based Datasets

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By Xiaohong Chen, Bensheng Huang, Jie Liu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Attribution of Runoff Variation in Reservoir Construction Area: Based on a Merged Deep Learning Model and the Budyko Framework

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By Xiaohong Chen, Bensheng Huang, Liangxiong Chen
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (92) Issue with article?

Extraction and Classification of Flood-Affected Areas Based on MRF and Deep Learning

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By Jie Wang, Bensheng Huang, Fuming Wang
| MDPI
4.1. Water Extraction Four water extraction schemes were adopted as a means to verify the effectiveness of the method proposed in this research: Otsu, KI, KI-MRF, and KI-MRF-SA. Otsu and KI verify the effectiveness of cases that only utilize Otsu’s and KI’s thresholding segmentation for water extraction, respectively. KI-MRF verifies the effectiveness of cases that utilize MRF for water extraction based on KI’s thresholding segmentation method.
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