中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Land Cover Extraction in the Typical Black Soil Region of Northeast China Using High-Resolution Remote Sensing Imagery

文献类型:期刊论文

作者Ding, Binbin1; Tian, Jianlin1; Wang, Yong2; Zeng, Ting1
刊名LAND
出版日期2023-08-01
卷号12期号:8页码:16
关键词U-Net model RAT-UNet model land cover extraction GF-6 Qiqihar City
DOI10.3390/land12081566
通讯作者Tian, Jianlin(007319@jsu.edu.cn) ; Wang, Yong(wangy@igsnrr.ac.cn)
英文摘要The black soil region of Northeast China is one of the most fertile soil areas in the world and serves as a crucial grain-producing region in China. However, excessive development and improper utilization have led to severe land use issues. Conducting land cover extraction in this region can provide essential data support for monitoring and managing natural resources effectively. This article utilizes GF-6 remote sensing imagery as the data source and adopts the U-Net model as the backbone network. By incorporating residual modules and adjusting the convolution kernel size, a high-precision land cover extraction model called RAT-UNet is developed. Taking Qiqihar City as an example, the RAT-UNet model is applied to extract land cover information. The results are as follows: (1) The RAT-UNet model achieves high accuracy in land cover extraction, with the following accuracies for different land types: cropland (95.11%), forestland (93.61%), grassland (68.41%), water bodies (94.67%), residential land (89.40%), and unused land (87.25%). (2) The land cover extraction performance of the RAT-UNet model is superior to DeepLabV3, U-Net, SegNet, and LinkNet34 models. This research outcome provides methodological support for the intelligent and high-precision extraction of land cover information and also offers timely data for Qiqihar city's land use planning.
WOS关键词DEEP ; CLASSIFICATION
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA28050200] ; Hunan Provincial Postgraduate Scientific Research and Innovation Project[CX20211059]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001056163600001
出版者MDPI
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Hunan Provincial Postgraduate Scientific Research and Innovation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/196601]  
专题中国科学院地理科学与资源研究所
通讯作者Tian, Jianlin; Wang, Yong
作者单位1.Jishou Univ, Coll Civil Engn & Architecture, Zhangjiajie 427000, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Ding, Binbin,Tian, Jianlin,Wang, Yong,et al. Land Cover Extraction in the Typical Black Soil Region of Northeast China Using High-Resolution Remote Sensing Imagery[J]. LAND,2023,12(8):16.
APA Ding, Binbin,Tian, Jianlin,Wang, Yong,&Zeng, Ting.(2023).Land Cover Extraction in the Typical Black Soil Region of Northeast China Using High-Resolution Remote Sensing Imagery.LAND,12(8),16.
MLA Ding, Binbin,et al."Land Cover Extraction in the Typical Black Soil Region of Northeast China Using High-Resolution Remote Sensing Imagery".LAND 12.8(2023):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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