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
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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 |
DOI | 10.3390/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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