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An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters
Wang, Jiao1; Cheng, Weiming2; Luo, Wei3; Zheng, Xinqi1; Zhou, Chenghu2
2017-09-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume9Issue:9Pages:10
Corresponding AuthorZheng, Xinqi(zhengxq@cugb.edu.cn)
AbstractVolume 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.
KeywordIterative Black Top Hat Transform (IBTH) crater volume Moon DEM
DOI10.3390/rs9090952
WOS KeywordESTIMATING HYDRAULIC CONDUCTIVITY ; DRAINAGE PATTERNS ; CHANGE-1 ; EJECTA ; DEM
Indexed BySCI
Language英语
Funding ProjectFundamental Research Funds for the Central Universities[2652017112] ; National Natural Science Foundation of China[41571388]
Funding OrganizationFundamental Research Funds for the Central Universities ; National Natural Science Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000414138700082
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61252
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZheng, Xinqi
Affiliation1.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
Recommended Citation
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.
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