Geomorphon-based classification of multiscale lunar landform
文献类型：期刊论文
| 作者 | Li, Junjiao1; Wang, Jiao1; Shi, Yijian1; Cheng, Weiming2 |
| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 19期号:1页码:18505 |
| 关键词 | geomorphons lunar landform multiscale classification system |
| DOI | 10.1117/1.JRS.19.018505 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Landform classification can help us better understand the structure, composition, and evolution of the lunar surface, which is of great value for exploration engineering design and task execution. Currently, research on micro-lunar landform elements is limited due to the intricate morphology influenced by internal forces such as volcanic activities and tectonic processes, and external forces including impacts and space weathering. These forces create a wide range of morphological variations, making it challenging to identify and classify micro-lunar landforms using traditional methods. To address these challenges, this study proposes a scale-adaptive approach for effectively classifying diverse micro-lunar landforms. An algorithm based on geomorphons is introduced, which defines local ternary patterns by optimizing topographic parameters and classifies micro-level landform elements accordingly. The classification process aggregates lunar geomorphons using relief amplitude and slope, enabling the identification of multi-scale landforms across extensive regions. The proposed method achieves high classification performance, with an overall accuracy (OA) of 82.46% and a kappa coefficient (K) of 0.75. By integrating multi-scale units, a comprehensive lunar landform classification system is constructed, facilitating the efficient extraction and analysis of landform elements. Furthermore, the classified lunar landforms provide multi-scale landform units for more detailed analyses of lunar geomorphology and geology. (c) 2025 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| URL标识 | 查看原文 |
| WOS关键词 | IMPACT CRATERS ; ALGORITHM ; CHAINS ; MOON |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001489645900013 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214560]  |
| 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 | Wang, Jiao |
| 作者单位 | 1.China Univ Geosci, Sch Informat & Engn, Beijing, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Junjiao,Wang, Jiao,Shi, Yijian,et al. Geomorphon-based classification of multiscale lunar landform[J]. JOURNAL OF APPLIED REMOTE SENSING,2025,19(1):18505. |
| APA | Li, Junjiao,Wang, Jiao,Shi, Yijian,&Cheng, Weiming.(2025).Geomorphon-based classification of multiscale lunar landform.JOURNAL OF APPLIED REMOTE SENSING,19(1),18505. |
| MLA | Li, Junjiao,et al."Geomorphon-based classification of multiscale lunar landform".JOURNAL OF APPLIED REMOTE SENSING 19.1(2025):18505. |
入库方式： OAI收割
来源：地理科学与资源研究所
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