Accurate characterization of coal pore and fissure structure based on CT 3D reconstruction and NMR

2021 ◽  
Vol 96 ◽  
pp. 104242
Author(s):  
Wei Liu ◽  
Gang Wang ◽  
Dongyang Han ◽  
Hao Xu ◽  
Xiangyu Chu
Keyword(s):  
3D Reconstruction

scholarly journals The UAS-Based 3D Image Characterization of Mozarabic Church Ruins in Bobastro (Malaga), Spain

2020 ◽  
Vol 12 (15) ◽  
pp. 2377
Author(s):  
Carlos Enríquez ◽  
Juan Manuel Jurado ◽  
Alexandro Bailey ◽  
Danilo Callén ◽  
María José Collado ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Archaeological Site ◽  
Semantic Classification ◽  
Spatial Features ◽  
Digital Elevation ◽  
Dense Point ◽  
Critical Slope ◽  
Rgb Images ◽  
Elevation Model

In recent years, the application of geomatics tools in archaeology has proved to be very useful to obtain meaningful knowledge of the 3D reconstruction of archaeological remains and semantic classification of the 3D surface. These techniques have proven to be an effective solution for the 3D modeling and the extraction of many spatial features on an archaeological site. However, novel methodologies as well as new data exploitation strategies are required to exploit these geospatial data for natural and cultural heritage documentation, monitoring, and preservation. In this paper, we have studied unique archaeological ruins, a Mozarab church in Al-Andalus, using high-resolution RGB images, which was taken by a drone. Thus, a 3D reconstruction of the ruins and the surrounding environment is carried out in order to characterize it on a dense point cloud. Then, a digital elevation model (DEM) was calculated in order to identify critical slope lines, which are significant to determine where the structure of the church was built. Our results can be used for the development of an architectural project and thus a virtual recreation of these archaeological ruins was performed.

Quantitative characterization of coal microstructure and visualization seepage of macropores using CT-based 3D reconstruction

2020 ◽  
Vol 81 ◽  
pp. 103384
Author(s):  
Nan Fan ◽  
Jiren Wang ◽  
Cunbao Deng ◽  
Yongpeng Fan ◽  
Tingting Wang ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Quantitative Characterization

3D reconstruction and characterization of polycrystalline microstructures using a FIB–SEM system

2006 ◽  
Vol 57 (4-5) ◽  
pp. 259-273 ◽  
Author(s):  
M.A. Groeber ◽  
B.K. Haley ◽  
M.D. Uchic ◽  
D.M. Dimiduk ◽  
S. Ghosh
Keyword(s):  
3D Reconstruction

scholarly journals Morphometric Analysis through 3D Modelling of Bronze Age Stone Moulds from Central Sardinia

Minerals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1192
Author(s):  
Stefano Cara ◽  
Paolo Valera ◽  
Carlo Matzuzzi
Keyword(s):  
3D Reconstruction ◽  
Bronze Age ◽  
Digital Camera ◽  
Stone Materials ◽  
Photogrammetric Method ◽  
Thin Section Analysis ◽  
Experimental Rig ◽  
Petrographic Thin Section ◽  
Section Analysis

Stone moulds were basic elements of metallurgy during the Bronze Age, and their analysis and characterization are very important to improve the knowledge on these artefacts useful for typological characterization. The stone moulds investigated in this study were found during an archaeological field survey in several Nuragic (Bronze Age) settlements in Central Sardinia. Recent studies have shown that photogrammetry can be effectively used for the 3D reconstruction of small and medium-sized archaeological finds, although there are still many challenges in producing high-quality digital replicas of ancient artefacts due to their surface complexity and consistency. In this paper, we propose a multidisciplinary approach using mineralogical (X-ray powder diffraction) and petrographic (thin section) analysis of stone materials, as well as an experimental photogrammetric method for 3D reconstruction from multi-view images performed with recent software based on the CMPMVS algorithm. The photogrammetric image dataset was carried out using an experimental rig equipped with a 26.2 Mpix full frame digital camera. We also assessed the accuracy of the reconstruction models in order to verify their precision and readability according to archaeological goals. This allowed us to provide an effective tool for more detailed study of the geometric-dimensional aspects of the moulds. Furthermore, this paper demonstrates the potentialities of an integrated minero-petrographic and photogrammetric approach for the characterization of small artefacts, providing an effective tool for more in-depth investigation of future typological comparisons and provenance studies.

Morphological Characterization of Agglomerated Particles by 3D Reconstruction

2016 ◽  
Vol 14 (7) ◽  
pp. 3117-3123
Author(s):  
J. P. Zavala De Paz ◽  
C. Isaza Bohorques ◽  
E.K. Anaya Rivera ◽  
E. Castillo Castaneda
Keyword(s):  
3D Reconstruction ◽  
Morphological Characterization

Quantitative characterization of microfiltration membranes by 3D reconstruction

2011 ◽  
Vol 372 (1-2) ◽  
pp. 66-74 ◽  
Author(s):  
H. Reingruber ◽  
A. Zankel ◽  
C. Mayrhofer ◽  
P. Poelt
Keyword(s):  
3D Reconstruction ◽  
Quantitative Characterization ◽  
Microfiltration Membranes

Characterization Improvement Through Signal Processing: Application to Radiography Inspection — 3D Reconstruction

2005 ◽  
Author(s):  
Laurence Chatellier ◽  
Valery E. Just ◽  
Louis Fournier ◽  
Bruno Charbonnier ◽  
Lionel Robillard
Keyword(s):  
Signal Processing ◽  
3D Reconstruction ◽  
Incidence Angle ◽  
Vertical Direction ◽  
Regulatory Requirements ◽  
Reconstruction Process ◽  
Processing Application ◽  
Improved Accuracy ◽  
Service Inspection

During in-service inspections, experts are faced with the delicate task of establishing a complete diagnosis of defects from radiographs. Should a defect be detected, one must be able to demonstrate that the component still meets regulatory requirements. Thus, it is essential to be able to characterize precisely the defect, especially when the demonstration relies on mechanical calculus. However the characterization of the defect by only g or X-ray is sometimes very difficult, and the justification process can thus be jeopardized. In such cases, signal processing can be very helpful for the interpretation of the data and for the characterization (positioning and sizing) of the defect. This paper presents a 3-D reconstruction processing in hard conditions representatives of pipe inspections: the incidence angle is very reduced and thus the radiographs contain very little information along the vertical direction. The reconstruction process relies on the estimation of the attenuation. It is called inversion because it restores the attenuation from both data and prior information. The method has been tested on radiographs of a block with real defects and the performances were evaluated from a mock-up with several electro-drilled cylindrical defects. Even in the case of limited incidence, the method provides very useful 3D results. Moreover this process can be applied whatever the nature of the source. When a larger source is used in order to inspect thick components, signal processing allows to reduce the inevitable blur which leads to improved accuracy. In conclusion, signal processing and especially 3D reconstruction in the case of radiography can turn out to be a key step fur in-service inspection of major NPP components.

Sign in / Sign up

Export Citation Format

Share Document