Extraction of Irrigation Water Body in Jiefangzha Irrigation Area of Hetao Irrigation District Based on MWatNet Model

被引：0
|
作者：
Zhang S. [1 ,2 ]
Han Y. [1 ,3 ]
Liu L. [1 ]
Yang L. [1 ]
Luo M. [1 ]
Fang K. [1 ]
Zhang Q. [1 ]
机构：
[1] College of Water Conservation and Civil Engineering, Inner Mongolia Agricultural University, Huhhot
[2] Key Laboratory of Water Resource Protection, Utilization of Inner Mongolia Autonomous Region, Huhhot
[3] Autonomous Region Synergistic Innovation Center for Comprehensive Governance of Water Resources and Water Environment in Inner Mongolia Section of Yellow River Basin, Huhhot
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2024年 / 55卷 / 06期
关键词：
deep learning; Hetao Irrigation District; irrigated farmland; MW at Net model; Sentinel; -; 2image; water body extraction;
D O I：
10.6041/j.issn.1000-1298.2024.06.018
中图分类号：
学科分类号：
摘要：
In order to improve the recognition accuracy of irrigation water bodies in irrigated farmland， the Jiefangzha Irrigation Area of Hetao Irrigation District was taken as the study area, and the surface water body extraction model (WatNet) was improved based on Sentinel - 2 remote sensing images， combined with the actual situation of the irrigation area, to obtain the MW at Net model and extract irrigation water bodies. Overall accuracy (OA)，mean intersection over union (MIoU)，F1 value and other water body extraction accuracy indicators were used for comprehensive evaluation. The results showed that the improved surface water body extraction model (MW at Net) had good recognition accuracy in the extraction of farmland irrigation water bodies in Jiefangzha Irrigation Area，the overall accuracy of the model reached 96%，the mean interaction over union reached 83%，the F1 value was 80%，and the accuracy of the field research validation was 85. 7% ；comparing with the original Wat Net, the semantic segmentation model of water bodies (Deeplabv3 _ plus), and the water body extraction model (Deepwatermapv2) MW at Net showed better results and model operation efficiency in terms of connectivity of irrigation water body extraction，and elimination of road and town interference. The quantitative characterization of irrigation water bodies can be achieved by using this model, which provided data support for irrigation water scheduling. © 2024 Chinese Society of Agricultural Machinery. All rights reserved.
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页码：178 / 185and201
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