Automated precision counting of small lunar craters - A broader view

Cadogan, Peter Howard

doi:10.1016/j.icarus.2023.115796

Cited by 1 publication

(2 citation statements)

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“…However, the incredibly high number of small lunar craters on the surface of the Moon makes manual quantification only practicable for a limited area. In order to conduct wider and more rapid surveys, pattern recognition and deep learning-based automatic detection methods have been developed [14][15][16][17][18][19][20]. From the detection numbers to scale, the catalog of small lunar craters established by Cadogan [16,20] is representative, where roughly >300,000 craters over 2.5-3 m in diameter were detected at the Apollo, Luna, Lunokhod, Ranger, and Chang'e-4 sites with a calculated detection rate of 86%.…”

Section: Introductionmentioning

confidence: 99%

“…In order to conduct wider and more rapid surveys, pattern recognition and deep learning-based automatic detection methods have been developed [14][15][16][17][18][19][20]. From the detection numbers to scale, the catalog of small lunar craters established by Cadogan [16,20] is representative, where roughly >300,000 craters over 2.5-3 m in diameter were detected at the Apollo, Luna, Lunokhod, Ranger, and Chang'e-4 sites with a calculated detection rate of 86%. However, this automated analysis was built on multiple and overlapping LROC NAC images under different illumination conditions on the lunar surface.…”

Section: Introductionmentioning

confidence: 99%

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Accurate Mapping and Evaluation of Small Impact Craters within the Lunar Landing Area

Yang,

Wang,

Zhao

et al. 2024

Remote Sensing

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Impact craters, as the most distinct lunar structural unit and geological structure, are marked on the Moon’s surface. For over a decade, researchers have focused on identifying and exploring large- to medium-sized impact craters on the surface of the Moon (craters with a diameter greater than 1 km). Small impact craters have obvious statistical significance owing to their magnitude in numbers. The identification and analysis of small craters provide indispensable clues for the study of lunar geological evolution. However, such craters only remain in specific images and regions. At present, there is no comprehensive record of small impact craters in the existing lunar impact crater databases. The small impact craters on the surface of the Moon are enormous and vary in size by orders of magnitude, exhibiting small target characteristics in space. The present study focuses on the identification and spatial analysis of small impact craters on the surface of the Moon. A feature amplification strategy-based identification model was established for small impact crater detection, achieving accurate recognition of the small impact craters on the surface of the Moon (with a recall rate of 86.97% and a false-positive rate as low as 0.54% ± 0.16%). In total, 228,897, 142,872, and 42,008 new small lunar impact craters (with diameters as low as 4.5 m) were identified in the ten lunar landing areas of returned samples from the Apollo, Luna, and Chang’e-5 missions. In addition, the spatial distribution characteristics of small impact craters during different geological periods in the landing area are provided. Data on the newly identified small impact craters will provide an important basis for revealing the lunar impact fluxes and young lunar surface dating in lunar geological evolution research.

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