农业机械学报2024，Vol.55Issue(6)：178-185,201,9.DOI:10.6041/j.issn.1000-1298.2024.06.018
基于MWatNet模型的河套灌区解放闸灌域灌溉水体提取
Extraction of Irrigation Water Body in Jiefangzha Irrigation Area of Hetao Irrigation District Based on MWatNet Model
摘要
Abstract
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 MWatNet 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(MWatNet)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 WatNet,the semantic segmentation model of water bodies(Deeplabv3_plus),and the water body extraction model(Deepwatermapv2),MWatNet 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.关键词
水体提取/灌溉农田/Sentinel-2影像/深度学习/河套灌区/MWatNet模型Key words
water body extraction/irrigated farmland/Sentinel-2 image/deep learning/Hetao Irrigation District/MWatNet model分类
信息技术与安全科学引用本文复制引用
张圣微,韩永婷,刘璐,杨林,雒萌,方科迪,章骞..基于MWatNet模型的河套灌区解放闸灌域灌溉水体提取[J].农业机械学报,2024,55(6):178-185,201,9.基金项目
国家重点研发计划重点项目(2021YFC3201201)、内蒙古自治区科技成果转化项目(2020CG0054)、内蒙古自治区高等学校创新团队发展计划项目(NMGIRT2313)和"草原英才"创新团队项目 （2021YFC3201201）
