An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters
Abstract
:1. Introduction
2. Materials and Methods
2.1. Materials
2.2. Methods
3. Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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DEM | Algorithm | Pixel Count | Volume (m3) | Relative Accuracy | Relative Error | FN (%) | FP (%) |
---|---|---|---|---|---|---|---|
Simulated | BTH | 210,404 | 1.97 × 1010 | 65% | 45.9% | 1.7 | 3.3 |
IBTH | 219,510 | 1.35 × 1010 | 95% | 1.2 | 3.1 | ||
Chang’E | BTH | 213,988 | 5.19 × 1014 | - | 29.5% | 34 | 45 |
IBTH | 303,536 | 5.37 × 1014 | - | 15 | 27 | ||
LOLA | BTH | 11,681,621 | 1.06 × 1015 | - | 29.5% | 30 | 43 |
IBTH | 16,575,038 | 1.12 × 1015 | - | 12 | 25 |
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Wang, J.; Cheng, W.; Luo, W.; Zheng, X.; Zhou, C. An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters. Remote Sens. 2017, 9, 952. https://doi.org/10.3390/rs9090952
Wang J, Cheng W, Luo W, Zheng X, Zhou C. An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters. Remote Sensing. 2017; 9(9):952. https://doi.org/10.3390/rs9090952
Chicago/Turabian StyleWang, Jiao, Weiming Cheng, Wei Luo, Xinqi Zheng, and Chenghu Zhou. 2017. "An Iterative Black Top Hat Transform Algorithm for the Volume Estimation of Lunar Impact Craters" Remote Sensing 9, no. 9: 952. https://doi.org/10.3390/rs9090952