Study on Optimal Laminographic Tilt Angle: A Method for Analyzing Quantity Information Gained in Projections

Jiang, Yiming; Zou, Jing; Hu, Xiaodong; Han, Zhenye; Mu, Yantao; Chen, Ming; Xu, Ying

doi:10.1109/access.2020.2974321

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…e information quantity method originated in the United States, and in China, it was first quoted by Professor Yan Tongzhen to predict the surface landslide and then gradually widely used in the geological disaster risk assessment in the geological disasterprone areas in China. As far as the information quantity method itself is concerned, its central idea is to use the information quantity value to reflect the difficulty of geological disasters in the study area based on the information quantity contributed by various influencing factors to geological disasters [21]. is method is practical and simple and can be used to predict the development law of geological disasters.…”

Section: Information Quantity Methodmentioning

confidence: 99%

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Yang

Zhi²,

Ren

et al. 2022

Scientific Programming

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When traditional geological hazard survey methods are used for deformation monitoring in mountainous areas, it often shows the disadvantages of low applicability of monitoring methods and limited accuracy of detection results. In recent years, synthetic aperture radar interferometry (InSAR) technology has incomparable advantages in surface deformation monitoring, such as all-weather detection, wide detection range, high detection accuracy, and low detection cost. At the same time, InSAR technology can also provide data and technical support for the subsequent task of potential geological disaster point identification and geological disaster risk zoning in the study area. Alos-2 radar is selected; in this paper the satellite image is the research data, and the InSAR technology is used to complete the surface deformation detection. Then, based on the previous surface deformation monitoring results, the potential geological disaster points in the study area are extracted, and the distribution law and incubation conditions of the disaster points are analyzed and described. According to the field conditions of a certain area, the surface distribution, development causes, and inducing mechanism of the potential geological disaster points are explored; the results show that the development of geological disasters in the study area is affected by many factors such as landform, geological environment, climate, hydrology, and human activities. Based on this, 11 factors such as formation lithology, slope, and river are used as evaluation factors for mountain geological disaster monitoring, prediction, and evaluation analysis. Finally, the improved analytic hierarchy process information model is used to complete the monitoring, prediction, evaluation, and analysis of regional geological hazards in the study area. In this paper, the improved AHP-information method is used to classify the risk of mountain geological disasters in the study area. Finally, the evaluation results are verified, which proves that the improved AHP-information method is reliable, and its mountain geological disaster monitoring and prediction evaluation effect is better than the traditional AHP-information method.

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Section: Information Quantity Methodmentioning

confidence: 99%

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Yang

Zhi²,

Ren

et al. 2022

Scientific Programming

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“…In addition, x-rays computed laminography (CL) as an alternative scanning method is proposed for imaging of flat panel sample. X-rays CL imaging usually requires time-consuming iterative algorithms to reconstruct images [6,7]. Thus x-rays CL also can't quickly achieve clear imaging of samples at different depths.…”

Section: Introductionmentioning

confidence: 99%

Arbitrary depth slice imaging based on cone beam x-rays multi-angle sampling

Xia

Zhao

et al. 2021

J. Inst.

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Arbitrary internal depth slice imaging is an effective way to realize rapid industrial scanning and reconstruction method in x-rays imaging. This paper proposes a novel arbitrary internal depth slice imaging (AIDSI) method for cone beam x-rays imaging. AIDSI builds the relationships between voxels of depth slices and pixels of sampling images under the cone beam x-ray source, which serves to refocus sampling data to specified depth slices. To remove artifacts of direct refocusing, a 3-point weighted practical ramp filtering method is used for sparse sampling data. The side lobes of the filter converge fast, artifacts caused by Gibbs effects are effectively reduced compared with common Shepp-Logan and Ram-Lak filters. Additionally, a weighting function is designed to reduce artifacts caused by structures of uninteresting layers. The feasibility and effectiveness of AIDSI is evaluated through simulation and real experiments. Results show that the proposed method has the ability to directly reconstruct arbitrary depth slice images based on random sparse sampling data, which is expected to be used for rapid detection of a large number of samples in industry.

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Fusional laminography: A strategy for exact reconstruction on CL and CT information complementation

Ji,

Jiang,

Zhao

et al. 2024

NDT & E International

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Study on Optimal Laminographic Tilt Angle: A Method for Analyzing Quantity Information Gained in Projections

Cited by 3 publications

References 17 publications

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Monitoring, Prediction, and Evaluation of Mountain Geological Hazards Based on InSAR Technology

Arbitrary depth slice imaging based on cone beam x-rays multi-angle sampling

Fusional laminography: A strategy for exact reconstruction on CL and CT information complementation

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