Concept graph construction and applied research of agricultural remote sensing
文献类型：期刊论文
| 作者 | Xu, Lu2; Ming, Dongping2,3; Yang, Xiaomei1,4; Luo, Jiancheng1,5; Yang, Jianyu6; Zhou, Chenghu1,4 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2024-07-02 |
| 卷号 | 45期号:13页码:4428-4448 |
| 关键词 | Agriculture remote sensing big data bibliometrics concept graph |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2024.2365812 |
| 英文摘要 | Remote sensing technology in the new era gradually need a new scientific paradigm driven by big data and knowledge. However, in the current research, the use of existing knowledge is slightly insufficient. As for the whole research process, there is a lack of guidance based on the field knowledge. In view of the above problems in the field of remote sensing in agriculture, it is of great significance to organize knowledge based on concept graph and develop knowledge-driven big data analysis theory and methods. This paper focuses on the construction and application of agricultural remote sensing concept graph. Firstly, it explores the core contents, research hotspots and development trends of the current agricultural remote sensing field through reference visualization and analysis methods such as keyword frequency statistics, keyword co-occurrence, word detection with stronger citation burst and so on. Then, this paper summarizes the comprehensive ontology of agricultural remote sensing based on the results of keyword clustering. Thus, the schema layer of concept graph is constructed from top to bottom. Under the guidance of the schema layer, the data layer of the concept graph is artificially filled from the bottom up with different triads stored in Neo4j. In terms of application, retrieval, query and recommendation of the proposed concept graph for agricultural remote sensing tasks is a typical application case. Based on the results of the recommendation, it could guide the process of information extraction such as cultivated land parcel delineation and crop type identification at the parcel scale. The study of concept graph helps to summarize and generalize the relevant knowledge in the field of agricultural remote sensing. Relevant research provide effective solutions for automated and intelligent agricultural information extraction and application. |
| WOS关键词 | KNOWLEDGE GRAPH ; SCIENCE ; INFORMATION ; NETWORK |
| 资助项目 | National Natural Science Foundation of China[42271282] ; National Natural Science Foundation of China[42371379] |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001253704500001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206503]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Ming, Dongping |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.China Univ Geosci Beijing, Sch Informat Engn, 29 Xueyuan Rd, Beijing 100083, Peoples R China 3.China Univ Geosci Beijing, Frontiers Sci Ctr Deep Time Digital Earth, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China 6.China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Lu,Ming, Dongping,Yang, Xiaomei,et al. Concept graph construction and applied research of agricultural remote sensing[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2024,45(13):4428-4448. |
| APA | Xu, Lu,Ming, Dongping,Yang, Xiaomei,Luo, Jiancheng,Yang, Jianyu,&Zhou, Chenghu.(2024).Concept graph construction and applied research of agricultural remote sensing.INTERNATIONAL JOURNAL OF REMOTE SENSING,45(13),4428-4448. |
| MLA | Xu, Lu,et al."Concept graph construction and applied research of agricultural remote sensing".INTERNATIONAL JOURNAL OF REMOTE SENSING 45.13(2024):4428-4448. |
入库方式： OAI收割
来源：地理科学与资源研究所
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