Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30
文献类型：期刊论文
| 作者 | Zhao, Shangmin1; Liu, Jiao1; Cheng, Weiming2,3,4; Zhou, Chenghu2,3,4 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 11期号:3页码:18 |
| 关键词 | information entropy SRTM1 DEM ASTER GDEM V3 DEM fusion Taiyuan city |
| DOI | 10.3390/ijgi11030207 |
| 通讯作者 | Zhao, Shangmin(zhaoshangmin@tyut.edu.cn) |
| 英文摘要 | Multi-source data fusion can help to weaken the original data's shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal resolution of the Fused DEM in the research area is determined by analyzing the topographic factor information entropy. Then the optimally weighted fusion coefficient of the DEM with root mean square error (RMSE) as the criterion under different slope classes is determined by traversal exploration and quantitatively evaluates the fusion effect. The results show that the optimal resolution of the Fused DEM is 40 m under the terrain feature constraint of Taiyuan city. The fused DEM decreases by 33.8%, 57.9%, and 11.5% for mean absolute error (MAE), 36.3%, 54.6%, and 1.4% for standard deviation (STD), and 32.8%, 54.2%, and 9.7% for root mean square error (RMSE) compared with SRTM1, ASTER GDEM V3, and AW3D30. The weighted average fusion of multiple intensities increased the accuracy of the original data. The reduced topographic factor errors, such as slope, profile curvature, and TPI, improved the Fused DEM's topographic representation capacity. Furthermore, the results confirm the high accuracy of Fused DEM in complex mountainous regions. |
| WOS关键词 | VERTICAL ACCURACY ; DEM ; RESOLUTION ; ATTRIBUTE ; ENTROPY |
| 资助项目 | Natural Science Foundation of Shanxi Province[201901D111098] ; National Key Research and Development Program[2017YFB0503603] ; National Natural Science Foundation of China[42130110] ; National Natural Science Foundation of China[42171424] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000776853900001 |
| 出版者 | MDPI |
| 资助机构 | Natural Science Foundation of Shanxi Province ; National Key Research and Development Program ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173298]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Shangmin |
| 作者单位 | 1.Taiyuan Univ Technol, Coll Min Engn, Dept Surveying & Mapping, Taiyuan 030024, Peoples R China 2.Chinese Acad Sci, Inst Geog & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Shangmin,Liu, Jiao,Cheng, Weiming,et al. Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(3):18. |
| APA | Zhao, Shangmin,Liu, Jiao,Cheng, Weiming,&Zhou, Chenghu.(2022).Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(3),18. |
| MLA | Zhao, Shangmin,et al."Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.3(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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