Identifying Coastal Wetlands Changes Using a High-Resolution Optical Images Feature Hierarchical Selection Method
文献类型：期刊论文
| 作者 | Wu, Ruijuan1,2,3; Wang, Jing4 |
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 12期号:16页码:11 |
| 关键词 | change detection feature selection jumping degree transfer learning coastal wetlands |
| DOI | 10.3390/app12168297 |
| 通讯作者 | Wu, Ruijuan(rjwu@njtc.edu.cn) |
| 英文摘要 | Coastal wetlands are dynamic and fragile ecosystems where complex changes have taken place. As they are affected by environmental changes and human activities, it is of great practical significance to monitor coastal wetlands changes regularly. High-resolution optical data can observe changes in coastal wetlands, however, the impact of different optical features on the identification of changes in coastal wetlands is not clear. Simultaneously, the combination of many features could cause the "dimension disaster" problem. In addition, only small amounts of training samples are accessible at pre- or post-changed time. In order to solve the above problems, the feature hierarchical selection method is proposed, taking into account the jumping degree of different image features. The influence of different optical features on wetland classification was analyzed. In addition, a training samples transfer learning strategy was designed for wetland classification, and the classification result at pre- and post-changed times were compared to identify the "from-to" coastal wetlands changes. The southeastern coastal wetlands located in Jiangsu Province were used as a study area, and ZY-3 images in 2013 and 2018 were used to verify the proposed methods. The results show that the feature hierarchical selection method can provide a quantitative reference for optimal subset feature selection. A training samples transfer learning strategy was used to classify post-changed optical data, the overall accuracy of transferred training samples was 91.16%, and it ensures the accuracy requirements for change identification. In the study area, the salt marsh increased mainly from the sea area, because salt marshes expand rapidly throughout coastal areas, and aquaculture ponds increased from the sea area and salt marshes, because of the considerable economic benefits of the aquacultural industry. |
| WOS关键词 | MULTI-FEATURES ; OPTIMIZATION |
| 资助项目 | National Natural Science Foundation of China[41871203] ; State Key Laboratory of Resources and Environmental Information System[2022-30] ; Key Laboratory for Digital Land and Resources of Jiangxi Province ; East China University of Technology[DLLJ202008] ; Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources[2020-3-6] ; Scientific Research Innovation Team Project of Neijiang Normal University[2021TD01] |
| WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000846164100001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Key Laboratory for Digital Land and Resources of Jiangxi Province ; East China University of Technology ; Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources ; Scientific Research Innovation Team Project of Neijiang Normal University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182217]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Ruijuan |
| 作者单位 | 1.East China Univ Technol, Key Lab Digital Land & Resources Jiangxi Prov, Nanchang 330013, Jiangxi, Peoples R China 2.Neijiang Normal Univ, Sch Geog & Resource Sci, Neijiang 641102, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Ruijuan,Wang, Jing. Identifying Coastal Wetlands Changes Using a High-Resolution Optical Images Feature Hierarchical Selection Method[J]. APPLIED SCIENCES-BASEL,2022,12(16):11. |
| APA | Wu, Ruijuan,&Wang, Jing.(2022).Identifying Coastal Wetlands Changes Using a High-Resolution Optical Images Feature Hierarchical Selection Method.APPLIED SCIENCES-BASEL,12(16),11. |
| MLA | Wu, Ruijuan,et al."Identifying Coastal Wetlands Changes Using a High-Resolution Optical Images Feature Hierarchical Selection Method".APPLIED SCIENCES-BASEL 12.16(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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