An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters
文献类型：期刊论文
| 作者 | Wang, Jiao1; Cheng, Weiming2 ; Luo, Wei3; Zheng, Xinqi1; Zhou, Chenghu2
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-09-01 |
| 卷号 | 9期号:9页码:10 |
| 关键词 | Iterative Black Top Hat Transform (IBTH) crater volume Moon DEM |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9090952 |
| 通讯作者 | Zheng, Xinqi(zhengxq@cugb.edu.cn) |
| 英文摘要 | Volume estimation is a fundamental problem in the morphometric study of impact craters. The Top Hat Transform function (TH), a gray-level image processing technique has already been applied to gray-level Digital Elevation Model (DEM) to extract peaks and pits in a nonuniform background. In this study, an updated Black Top Hat Transform function (BTH) was applied to quantify the volume of lunar impact craters on the Moon. We proposed an iterative BTH (IBTH) where the window size and slope factor were linearly increased to extract craters of different sizes, along with a novel application of automatically adjusted threshold to remove noise. Volume was calculated as the sum of the crater depth multiplied by the cell area. When tested against the simulated dataset, IBTH achieved an overall relative accuracy of 95%, in comparison with only 65% for BTH. When applied to the Chang'E DEM and LOLA DEM, IBTH not only minimized the relative error of the total volume estimates, but also revealed the detailed spatial distribution of the crater depth. Therefore, the highly automated IBTH algorithm with few input parameters is ideally suited for estimating the volume of craters on the Moon on a global scale, which is important for understanding the early processes of impact erosion. |
| WOS关键词 | ESTIMATING HYDRAULIC CONDUCTIVITY ; DRAINAGE PATTERNS ; CHANGE-1 ; EJECTA ; DEM |
| 资助项目 | Fundamental Research Funds for the Central Universities[2652017112] ; National Natural Science Foundation of China[41571388] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000414138700082 |
| 出版者 | MDPI AG |
| 资助机构 | Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61251]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zheng, Xinqi |
| 作者单位 | 1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Northern Illinois Univ, Dept Geog, De Kalb, IL 60115 USA |
| 推荐引用方式 GB/T 7714 | Wang, Jiao,Cheng, Weiming,Luo, Wei,et al. An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters[J]. REMOTE SENSING,2017,9(9):10. |
| APA | Wang, Jiao,Cheng, Weiming,Luo, Wei,Zheng, Xinqi,&Zhou, Chenghu.(2017).An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters.REMOTE SENSING,9(9),10. |
| MLA | Wang, Jiao,et al."An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters".REMOTE SENSING 9.9(2017):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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