Urban street tree species identification and factor interpretation model based on natural images
文献类型：期刊论文
| 作者 | Li, Ziyang2; Tao, Huan1; Huai, Yongjian1,2; Nie, Xiaoying2 |
| 刊名 | URBAN FORESTRY & URBAN GREENING
 |
| 出版日期 | 2024-11-01 |
| 卷号 | 101页码:10 |
| 关键词 | Shapley additive explanations EfficientNet Natural images Tree identification Urban planning |
| ISSN号 | 1618-8667 |
| DOI | 10.1016/j.ufug.2024.128512 |
| 产权排序 | 2 |
| 英文摘要 | Urban street trees bring the beautiful ecological environment for human beings, but also may harm human health. Tree pollen is an important allergen that causes people to suffer from asthma and rhinitis, causing a serious medical burden. In order to protect human health and reduce medical costs, urban street trees need to be accurately identified. However, the identification of the urban street tree is influenced by the natural image (images with light intensity, season and shooting conditions), tree characteristics and identification models. To solve the problem, we proposed an interpretation model for identifying tree from natural images, named Ev2S_SHAP. Then, we applied the method to explain the influence of environmental and leaf factors on tree recognition and the identification accuracy. The open-source natural image dataset of urban street tree with complex situations such as different angles, distances, light, and times was used as the research object to verify the proposed tree identification model. |
| WOS关键词 | AIR-POLLUTION ; CLASSIFICATION ; POLLEN ; LEAVES ; ASTHMA ; BARK |
| 资助项目 | National Key R & D Program of China[2023YFC3304000] ; Beijing Municipal Science and Technol-ogy Program[Z221100005222018] ; Open Project Pro-gram of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University ; Fundamental Research Funds for the Central Universities[BLX202142] |
| WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology ; Forestry ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001348583500001 |
| 出版者 | ELSEVIER GMBH |
| 资助机构 | National Key R & D Program of China ; Beijing Municipal Science and Technol-ogy Program ; Open Project Pro-gram of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210946]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Huai, Yongjian |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Beijing Forestry Univ, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Ziyang,Tao, Huan,Huai, Yongjian,et al. Urban street tree species identification and factor interpretation model based on natural images[J]. URBAN FORESTRY & URBAN GREENING,2024,101:10. |
| APA | Li, Ziyang,Tao, Huan,Huai, Yongjian,&Nie, Xiaoying.(2024).Urban street tree species identification and factor interpretation model based on natural images.URBAN FORESTRY & URBAN GREENING,101,10. |
| MLA | Li, Ziyang,et al."Urban street tree species identification and factor interpretation model based on natural images".URBAN FORESTRY & URBAN GREENING 101(2024):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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