3D Modelling of Meteorite from Astomulyo Village, Lampung, Indonesia by Close Range Photogrammetry (CRP) Methods

Harbowo, Danni Gathot; Sitorus, J H; Agustina, Lea Kristi; Muztaba, R; Julian, T; Malasan, Hakim L.

doi:10.1088/1755-1315/1047/1/012003

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…Applications of photogrammetry in Earth Sciences have included paleontological studies (Falkingham, 2012), mapping of outcrop scale geological features (Bistacchi et al, 2015) and modeling planetary surface topography (Le Mouélic et al, 2020). Using a suite of overlapping images depicting a meteorite in a range of orientations, it is possible to generate a 3-D model of the meteorite that records its shape and appearance (e.g., Harbowo et al, 2022;Harvey et al, 2020Harvey et al, , 2021. Photogrammetry allows for production of a detailed model of the sample exterior that can be used for a range of applications including preservation of a record of whole sample exterior and determination of sample volume.…”

Section: Evaluation Of Methods Used To Determine Volume and Densitymentioning

confidence: 99%

Nondestructive determination of the physical properties of Antarctic meteorites: Importance for the meteorite—parent body connection

Harvey,

MacArthur,

Joy

et al. 2023

Meteorit & Planetary Scien

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Photogrammetry is a low‐cost, nondestructive approach for producing 3‐D models of meteorites for the purpose of determining sample bulk density. Coupled with the use of a nondestructive magnetic susceptibility/electrical conductivity field probe, we present measurements for the interrogation of several physical properties, on a set of Antarctic meteorites. Photogrammetry is an effective technique over a range of sample sizes, with meteorite bulk density results that are closely comparable with literature values, determined using Archimedean glass bead or laser scanning techniques. The technique is completely noncontaminating and suitable for the analysis of rare or fragile samples, although there are limitations for analyzing reflective samples. It is also flexible, and, with variations in equipment setup, may be appropriate for samples of a wide range of sizes. X‐ray computed tomography analyses of the same meteorite samples yielded slightly different bulk density results, predominantly for samples below 10 g, although the reason for this is unclear. Such analyses are expensive and potentially damaging to certain features of the sample (e.g., organic compounds), but may be useful in expanding the measurements to accommodate an understanding of internal voids within the sample, lending itself to measurement of grain density. Measurements of bulk density are valuable for comparisons with estimates of the bulk densities of asteroids that are suggested as meteorite parent bodies.

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Section: Evaluation Of Methods Used To Determine Volume and Densitymentioning

confidence: 99%

Nondestructive determination of the physical properties of Antarctic meteorites: Importance for the meteorite—parent body connection

Harvey,

MacArthur,

Joy

et al. 2023

Meteorit & Planetary Scien

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“…Conventional photogrammetry was used by Jiang et al (2022) to reconstruct soil surfaces and assess rill erosion. Harbowo et al (2022) used close-range (1-cm) photogrammetry to reconstruct meteorite rock structures. Fang et al (2023) used a turntable and conventional photogrammetry are used to measure the size and shape of small (≈5-mm) rock particles.…”

Section: Recent Adaptations and Variants Of Close-range Photogrammetrymentioning

confidence: 99%

A low-cost close-range photogrammetric surface scanner

Koutlemanis,

Zabulis,

Stivaktakis

et al. 2024

Front. Imaging.

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IntroductionA low-cost, close-range photogrammetric surface scanner is proposed, made from Computer Numerical Control (CNC) components and an off-the-shelf, consumer-grade macro camera.MethodsTo achieve micrometer resolution in reconstruction, accurate and photorealistic surface digitization, and retain low manufacturing cost, an image acquisition approach and a reconstruction method are proposed. The image acquisition approach uses the CNC to systematically move the camera and acquire images in a grid tessellation and at multiple distances from the target surface. A relatively large number of images is required to cover the scanned surface. The reconstruction method tracks keypoint features to robustify correspondence matching and uses far-range images to anchor the accumulation of errors across a large number of images utilized.Results and discussionQualitative and quantitative evaluation demonstrate the efficacy and accuracy of this approach.

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“…Accuracy is a test method based on the degree of closeness between the predicted and actual values as a whole. The accuracy formula is shown in Equation (2).…”

Section: Table 2 Confusion Matrixmentioning

confidence: 99%

“…This meteorite fell into Astomulyo Village, Kec. Punggur, Lampung Province, Indonesia [1] [2]. The composition of this meteorite has been reviewed and classified as a stony-iron meteorite, with details of 27% SiO2.…”

Section: Introductionmentioning

confidence: 99%

CLASSIFICATION OF THE GEOCHEMICAL COMPOSITION OF METEORITE OF PUNGGUR (ASTOMULYO) BY k-NEAREST NEIGHBOR ALGORITHM

Muliawati

2023

variance

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The fall of a meteorite in Astomulyo Village, Punggur, Lampung Province in early 2021 is an interesting topic for further study. This rare object has been suggested to have a unique geochemical composition and a special connection with other meteorites. We aimed to trace its classification by comparing it with other well-known meteorites studied previously. We approach the classification process using the k-nearest neighbor algorithm. The database used 211 represents the geochemical data for each known meteorite group from chemical analyses of meteorites. As a result, we identified that with a k-value = 5 and the proportion of test data 5/95 (in %), the geochemical composition of this meteorite is relatively close to that of the H-type chondrite group with a value accuracy of 91.67%. These results are consistent with the fact that the meteorite of Punggur has a high total iron and metallic composition.

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3D Modelling of Meteorite from Astomulyo Village, Lampung, Indonesia by Close Range Photogrammetry (CRP) Methods

Cited by 3 publications

References 17 publications

Nondestructive determination of the physical properties of Antarctic meteorites: Importance for the meteorite—parent body connection

Nondestructive determination of the physical properties of Antarctic meteorites: Importance for the meteorite—parent body connection

A low-cost close-range photogrammetric surface scanner

CLASSIFICATION OF THE GEOCHEMICAL COMPOSITION OF METEORITE OF PUNGGUR (ASTOMULYO) BY k-NEAREST NEIGHBOR ALGORITHM

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