A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data
文献类型：期刊论文
| 作者 | Zhu, Xiaoxiao1,3; Nie, Sheng1; Wang, Cheng1,3; Xi, Xiaohuan1; Wang, Jinsong4; Li, Dong1; Zhou, Hangyu2,5 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2021-08-01 |
| 卷号 | 18期号:8页码:1471-1475 |
| 关键词 | Ice, Cloud, Land Elevation Satellite-2 (ICESat-2) noise removal ordering points to identify the clustering structure (OPTICS) photon-counting Light Detection and Ranging (LiDAR) (PCL) |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2020.3003191 |
| 通讯作者 | Nie, Sheng(niesheng@radi.ac.cn) |
| 英文摘要 | Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) shows great potential for forest height retrieval. However, there are abundant noise photons in the ICESat-2 data, which make the accurate extraction of global forest heights challenging. In this letter, a novel algorithm based on the clustering method of ordering points to identify the clustering structure (OPTICS) was proposed to remove noise photons. First, we modified the circular shape of the search area in the OPTICS algorithm to an elliptical shape. Second, a distance ordering of all photons was generated using the modified OPTICS algorithm. Finally, signal photons were effectively detected using distance thresholds set by the Otsu method. To evaluate the algorithm performance, both the simulated and real ICESat-2 data were applied to our proposed algorithm. In addition, we compared our algorithm with another noise removal algorithm based on the modified density-based spatial clustering of applications with noise (DBSCAN). The results show that our algorithm works well in distinguishing the signal and noise photons as indicated by high F values. Compared with the modified DBSCAN, our algorithm performs better in filtering out noise photons regardless of the simulated or real ICESat-2 data sets. In addition, the results also indicate that our algorithm is robust because it is insensitive to the clustering parameters. Overall, the new proposed algorithm is effective for removing noise photons in the ICESat-2 data. |
| 资助项目 | China Scholarship Council |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000675210700038 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/163697]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Nie, Sheng |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Digital Earth Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 2.Xiangtan Univ, Coll Comp & Cyberspace Secur, Xiangtan 411105, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 5.Jiangxi Prov Hydraul Planning & Designing, Nanchang 330029, Jiangxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Xiaoxiao,Nie, Sheng,Wang, Cheng,et al. A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021,18(8):1471-1475. |
| APA | Zhu, Xiaoxiao.,Nie, Sheng.,Wang, Cheng.,Xi, Xiaohuan.,Wang, Jinsong.,...&Zhou, Hangyu.(2021).A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,18(8),1471-1475. |
| MLA | Zhu, Xiaoxiao,et al."A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 18.8(2021):1471-1475. |
入库方式： OAI收割
来源：地理科学与资源研究所
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