A study of lunar impact crater size-distributions

Neukum, G.; Koenig, B.; Arkani‐Hamed, J.

doi:10.1007/bf00577878

Cited by 168 publications

(140 citation statements)

References 22 publications

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“…Crater dimneters are generally >200 mm under the comparator, which has an uncertainty of 5 mm. Hence, uncertainty in diameter measurements is <2.5% [Neukum et al, 1975]. …”

Section: Crater Statisticsmentioning

confidence: 97%

“…After analysis of selected regions of interest and identification of units in which spectral and morphologic variations suggested compositional differences, boundaries outlining these units were marked on the photographs. Crater counting followed the procedure of Neukum et al [1975] and Neukum [1983] in which film transparencies are exmnined under a Zeiss PM2 stereo comparator. Each crater di,'uneter is measured in the left-right (generally east-west) direction on the image from the inner shadow margin to the outer margin to obtain a rimto-rim measurement.…”

Section: Crater Statisticsmentioning

confidence: 99%

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Galileo imaging observations of lunar maria and related deposits

Greeley¹,

Kadel²,

Williams³

et al. 1993

J. Geophys. Res.

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Dark mantle deposit compositions derived from SSI data are consistent with Earth-based observations of similar near-side deposits and are interpreted to be pyroclastic materials. However, the modernitc albedo and 1 gin absorption of the dark mantle deposit on the southwest margin of the Orientale basin suggest it is a local pyroclastic deposit contaminated with underlying highland materials from the Orientale impact.

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“…Crater dimneters are generally >200 mm under the comparator, which has an uncertainty of 5 mm. Hence, uncertainty in diameter measurements is <2.5% [Neukum et al, 1975]. …”

Section: Crater Statisticsmentioning

confidence: 97%

Section: Crater Statisticsmentioning

confidence: 99%

Galileo imaging observations of lunar maria and related deposits

Greeley¹,

Kadel²,

Williams³

et al. 1993

J. Geophys. Res.

Self Cite

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“…The number of correct points (i.e., whether they were impact craters) was checked by manual counting. The positions of lunar craters published by IAU 1) were used as reference points. When assessing the second extraction accuracy, another 30 random check points from the reference points were sampled in order to confirm whether the craters have been extracted or not.…”

Section: Accuracy Assessment and Results Analysis 31 Accuracy Assessmentioning

confidence: 99%

“…The distribution characteristics of the impact craters provide a large amount of information on impact history and the lunar evolution process. They can be used to estimate lunar surface geology and relative age [1,2], and they also help to explain crust structures of the lunar surface [3]. In order to acquire the information, a mass of craters need to be extracted from images.…”

mentioning

confidence: 99%

Automatic extraction of lunar impact craters from Chang’E-1 satellite photographs

Wan

Cheng

Zhou

et al. 2011

Sci. China Phys. Mech. Astron.

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The distribution characteristics of the impact craters can provide a large amount of information on impact history and the lunar evolution process. In this research, based on the digital elevation model (DEM) data originating from Change'E-1 CCD stereo camera, three automatic extraction methods for the impact craters are implemented in two research areas: direct extraction from flooded DEM data (the Flooded method), object-oriented extraction from DEM data by using ENVI ZOOM function (the Object-Oriented method) and novel object-oriented extraction from flooded DEM data (the Flooded Object-Oriented method). Accuracy assessment, extracted degree computation, cumulative frequency analysis, shape and age analysis of the extracted craters combined display the following results. (1) The Flooded Object-Oriented method yields better accuracy than the other two methods in the two research areas; the extraction result of the Flooded method offers the similar accuracy to that of the Object-Oriented method. (2) The cumulative frequency curves for the extracted craters and the confirmed craters share a similar change trajectory. (3) The number of the impact craters extracted by the three methods in the Imbrian period is the largest and is of various types; as to their age earlier than Imbrain, it is difficult to extract because they could have been destroyed. As one of the most typical geomorphologic units, the impact craters are widely distributed on the lunar surface. The distribution characteristics of the impact craters provide a large amount of information on impact history and the lunar evolution process. They can be used to estimate lunar surface geology and relative age [1,2], and they also help to explain crust structures of the lunar surface [3]. In order to acquire the information, a mass of craters need to be extracted from images. Manual identification of craters is very time consuming, so researchers presented many automatic extraction methods, such as an algorithm which was able to automatically detect and classify 80% of craters without parameter tuning [4] and a method that enabled a fully automatic detection of 70% of sub-km craters in large panchromatic images [5]. Their extraction work used topographic and spectral information from lunar photos and images like Apollo data, Clementine UV-Vis is multi-spectral images and SELENE data. There was also much work [6][7][8]

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“…A crater plays a vital feature to estimate the age of the moon's surface when any sample specimen is not available [10,11]. An autonomous crater detection algorithm will help space research scientists to reduce their laboratory works of manually identifying those craters.…”

Section: Background and Contextmentioning

confidence: 99%