中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Lake Extraction Method Combining the Object-Oriented Method with Boundary Recognition

文献类型:期刊论文

作者Liu, Bingxue1; Wang, Wei; Li, Wenping1
刊名LAND
出版日期2023-03-01
卷号12期号:3页码:545
关键词landsat object-oriented symmetrical boundary recognition seed growth watershed algorithm lake extraction
DOI10.3390/land12030545
文献子类Article
英文摘要The China-Pakistan Economic Corridor is the pilot area of the Belt and Road, where glaciers and lakes are widely distributed. Recent years, global warming has accelerated the expansion of glacier lakes, which increased the risk of natural disasters such as glacier lake outburst. It is important to monitor the glacier lakes in this region. In this paper, we propose a method combining the object-oriented image analysis with boundary recognition (OOBR) to extract lakes in several study areas of China-Pakistan Economic Corridor (CPEC). This method recognized the lake boundary with the symmetrical characteristic according to the principle of seed growth of watershed algorithm, which can correct the boundary extracted by the object-oriented method. The overall accuracy of the proposed method is up to 98.5% with Landsat series images. The experiments also show that the overall accuracy of our method is always higher than that of the object-oriented method with different segmentation scales mentioned in this paper. The proposed method improved the overall accuracy on the basis of the results obtained by the object-oriented method, and the results with the proposed method are more robust to the seeds than that with the boundary correction method of the watershed algorithm. Therefore, the proposed method can obtain a high extraction accuracy while reducing the complexity of the object-oriented extraction.
WOS关键词HYPERSPECTRAL IMAGE CLASSIFICATION ; DEEP ; LANDSCAPE ; ALGORITHM
WOS研究方向Environmental Sciences & Ecology
出版者MDPI
WOS记录号WOS:000960191800001
源URL[http://ir.igsnrr.ac.cn/handle/311030/190509]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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Liu, Bingxue,Wang, Wei,Li, Wenping. A Lake Extraction Method Combining the Object-Oriented Method with Boundary Recognition[J]. LAND,2023,12(3):545.
APA Liu, Bingxue,Wang, Wei,&Li, Wenping.(2023).A Lake Extraction Method Combining the Object-Oriented Method with Boundary Recognition.LAND,12(3),545.
MLA Liu, Bingxue,et al."A Lake Extraction Method Combining the Object-Oriented Method with Boundary Recognition".LAND 12.3(2023):545.

入库方式: OAI收割

来源:地理科学与资源研究所

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