• Title/Summary/Keyword: Common image gather

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Reverse-time migration using the Poynting vector (포인팅 벡터를 이용한 역시간 구조보정)

  • Yoon, Kwang-Jin;Marfurt, Kurt J.
    • Geophysics and Geophysical Exploration
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    • v.9 no.1
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    • pp.102-107
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    • 2006
  • Recently, rapid developments in computer hardware have enabled reverse-time migration to be applied to various production imaging problems. As a wave-equation technique using the two-way wave equation, reverse-time migration can handle not only multi-path arrivals but also steep dips and overturned reflections. However, reverse-time migration causes unwanted artefacts, which arise from the two-way characteristics of the hyperbolic wave equation. Zero-lag cross correlation with diving waves, head waves and back-scattered waves result in spurious artefacts. These strong artefacts have the common feature that the correlating forward and backward wavefields propagate in almost the opposite direction to each other at each correlation point. This is because the ray paths of the forward and backward wavefields are almost identical. In this paper, we present several tactics to avoid artefacts in shot-domain reverse-time migration. Simple muting of a shot gather before migration, or wavefront migration which performs correlation only within a time window following first arriving travel times, are useful in suppressing artefacts. Calculating the wave propagation direction from the Poynting vector gives rise to a new imaging condition, which can eliminate strong artefacts and can produce common image gathers in the reflection angle domain.

3-D Seismic Profiling (3차원 탄성파탐사)

  • Shon, Howoong
    • Economic and Environmental Geology
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    • v.29 no.6
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    • pp.739-744
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    • 1996
  • 'Kite' is a newly developed single-channel seismic imaging system capable of producing high resolution three dimensional images of subbottom geology in one traverse of a survey region. The system consists of a horizontally towed hydrophone array and active source. The hydrophone array is towed axis perpendicular to ship direction and the airgun source at the end of the hydrophone array is excited at timed intervals during the progression. The construction of the three dimensional subbottom image was made simply by using conventional multichannel seismic reflection data processing techniques. Common source shot (CSS) gathers of the hydrophone traces are evaluated using Dix's equation for average interval velocity of each subbottom layer. From the interval velocity profile and the normal consolidation stress condition, values of shear modulus, porosity, and shear velocity are deduced from the chosen values of physical constants. The system has been successfully tested at several locations on the North Atlantic continental shelf.

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Computer Vision-based Automated Adhesive Quality Inspection Model of Exterior Insulation and Finishing System (컴퓨터 비전 기반 외단열 공사의 접착제 도포품질 감리 자동화 모델)

  • Yoon, Sebeen;Kang, Mingyun;Jang, Hyounseung;Kim, Taehoon
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.2
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    • pp.165-173
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    • 2023
  • This research proposed a model for automatically monitoring the quality of insulation adhesive application in external insulation construction. Upon case implementation, the area segmentation model demonstrated a 92.3% accuracy, while the area and distance calculation accuracies of the proposed model were 98.8% and 96.7%, respectively. These findings suggest that the model can effectively prevent the most common insulation defect, insulation failure, while simultaneously minimizing the need for on-site supervisory personnel during external insulation construction. This, in turn, contributes to the enhancement of the external insulation system. Moving forward, we plan to gather construction images of various external insulation methods to refine the image segmentation model's performance and develop a model capable of automatically monitoring scenarios with a considerable number of insulation materials in the image.

The Study of Design Characteristics of Peplums Blouses and Their Constituents - Based on the Survey in Domestic Online Shopping Malls - (페플럼 블라우스의 조형적 특성과 구성요소에 관한 연구 - 온라인 쇼핑몰을 중심으로 -)

  • Kwan, Jung-Suk;Koo, Mi-Ran
    • Journal of the Korea Fashion and Costume Design Association
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    • v.16 no.3
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    • pp.179-189
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    • 2014
  • Peplums have a great advantage in easy styling for wearers to acquire desired physical and reminiscent images depending on the type and where it is placed on the waist line. However, the study of peplum blouses has not yet recognized. This study suggests a baseline data for visual appraisals as a determined key factor is changes. The result of this study as follows: First, peplums published between 2012 through 2014 collections are used for decorative effects on tops or bottoms as the finest decoration details of fashioning women's physical attractiveness. Its application has been extended to various fashion themes such as belts and overskirt that are made of peplum itself. Second, peplums published between 2012 through 2014 collections have close correlation of how the position, shape, and length of peplums are attached on bottoms. Peplum effects are categorized as extension of tops, expansion of bottoms, connections of tops and bottoms, and separation of tops and bottoms. Third, total of seventy nine peplum blouses that are found in the domestic online shopping mall are analyzed. The total length of peplum blouses are generally produced to 56 to 61cm, which is little shorter than or approximately equal to the hip line of women aged in between twenty to twenty four. In addition, the most popular peplum design is made of flare and cutting lines on the waist line and is 45.56% of samples. The most common location of peplums is identified as 3 to 6 cm above the natural waist line or the natural waist line and is 78.47% of samples. Fourth, the key factor of peplum blouse that can significantly influence the visual image is the total length of blouse, position of peplum, and peplum shape.

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Hierarchical Clustering Approach of Multisensor Data Fusion: Application of SAR and SPOT-7 Data on Korean Peninsula

  • Lee, Sang-Hoon;Hong, Hyun-Gi
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.65-65
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    • 2002
  • In remote sensing, images are acquired over the same area by sensors of different spectral ranges (from the visible to the microwave) and/or with different number, position, and width of spectral bands. These images are generally partially redundant, as they represent the same scene, and partially complementary. For many applications of image classification, the information provided by a single sensor is often incomplete or imprecise resulting in misclassification. Fusion with redundant data can draw more consistent inferences for the interpretation of the scene, and can then improve classification accuracy. The common approach to the classification of multisensor data as a data fusion scheme at pixel level is to concatenate the data into one vector as if they were measurements from a single sensor. The multiband data acquired by a single multispectral sensor or by two or more different sensors are not completely independent, and a certain degree of informative overlap may exist between the observation spaces of the different bands. This dependence may make the data less informative and should be properly modeled in the analysis so that its effect can be eliminated. For modeling and eliminating the effect of such dependence, this study employs a strategy using self and conditional information variation measures. The self information variation reflects the self certainty of the individual bands, while the conditional information variation reflects the degree of dependence of the different bands. One data set might be very less reliable than others in the analysis and even exacerbate the classification results. The unreliable data set should be excluded in the analysis. To account for this, the self information variation is utilized to measure the degrees of reliability. The team of positively dependent bands can gather more information jointly than the team of independent ones. But, when bands are negatively dependent, the combined analysis of these bands may give worse information. Using the conditional information variation measure, the multiband data are split into two or more subsets according the dependence between the bands. Each subsets are classified separately, and a data fusion scheme at decision level is applied to integrate the individual classification results. In this study. a two-level algorithm using hierarchical clustering procedure is used for unsupervised image classification. Hierarchical clustering algorithm is based on similarity measures between all pairs of candidates being considered for merging. In the first level, the image is partitioned as any number of regions which are sets of spatially contiguous pixels so that no union of adjacent regions is statistically uniform. The regions resulted from the low level are clustered into a parsimonious number of groups according to their statistical characteristics. The algorithm has been applied to satellite multispectral data and airbone SAR data.

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The Consideration for Optimum 3D Seismic Processing Procedures in Block II, Northern Part of South Yellow Sea Basin (대륙붕 2광구 서해분지 북부지역의 3D전산처리 최적화 방안시 고려점)

  • Ko, Seung-Won;Shin, Kook-Sun;Jung, Hyun-Young
    • The Korean Journal of Petroleum Geology
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    • v.11 no.1 s.12
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    • pp.9-17
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    • 2005
  • In the main target area of the block II, Targe-scale faults occur below the unconformity developed around 1 km in depth. The contrast of seismic velocity around the unconformity is generally so large that the strong multiples and the radical velocity variation would deteriorate the quality of migrated section due to serious distortion. More than 15 kinds of data processing techniques have been applied to improve the image resolution for the structures farmed from this active crustal activity. The bad and noisy traces were edited on the common shot gathers in the first step to get rid of acquisition problems which could take place from unfavorable conditions such as climatic change during data acquisition. Correction of amplitude attenuation caused from spherical divergence and inelastic attenuation has been also applied. Mild F/K filter was used to attenuate coherent noise such as guided waves and side scatters. Predictive deconvolution has been applied before stacking to remove peg-leg multiples and water reverberations. The velocity analysis process was conducted at every 2 km interval to analyze migration velocity, and it was iterated to get the high fidelity image. The strum noise caused from streamer was completely removed by applying predictive deconvolution in time space and ${\tau}-P$ domain. Residual multiples caused from thin layer or water bottom were eliminated through parabolic radon transform demultiple process. The migration using curved ray Kirchhoff-style algorithm has been applied to stack data. The velocity obtained after several iteration approach for MVA (migration velocity analysis) was used instead or DMO for the migration velocity. Using various testing methods, optimum seismic processing parameter can be obtained for structural and stratigraphic interpretation in the Block II, Yellow Sea Basin.

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