• 대한원격탐사학회지
• /
• 제40권1호
• /
• pp.103-114
• /
• 2024

The escalating demands for high-resolution satellite imagery necessitate the dissemination of geospatial data with superior accuracy.Achieving precise positioning is imperative for mitigating geometric distortions inherent in high-resolution satellite imagery. However, maintaining sub-pixel level accuracy poses significant challenges within the current technological landscape. This research introduces an approach wherein upsampling is employed on both the satellite image and ground control points (GCPs) chip, facilitating the establishment of a high-resolution satellite image precision sensor orientation. The ensuing analysis entails a comprehensive comparison of matching performance. To evaluate the proposed methodology, the Compact Advanced Satellite 500-1 (CAS500-1), boasting a resolution of 0.5 m, serves as the high-resolution satellite image. Correspondingly, GCP chips with resolutions of 0.25 m and 0.5 m are utilized for the South Korean and North Korean regions, respectively. Results from the experiment reveal that concurrent upsampling of satellite imagery and GCP chips enhances matching performance by up to 50% in comparison to the original resolution. Furthermore, the position error only improved with 2x upsampling. However,with 3x upsampling, the position error tended to increase. This study affirms that meticulous upsampling of high-resolution satellite imagery and GCP chips can yield sub-pixel-level positioning accuracy, thereby advancing the state-of-the-art in the field.

• 전자공학회논문지S
• /
• 제36S권7호
• /
• pp.104-115
• /
• 1999

본 논문은 세 개의 카메라로부터 얻어진 영상에서 표면 깊이 정보를 재구성하여 얼굴의 3차원 모델을 생성하는 효율적인 방법을 제안한다. 논문에서는 Trinocular 영상을 사용하여 binocular 영상 사용 시 발생하는 폐색 영역 문제와 깊이 해상도 한계를 개선하였다. 또한, MPC_MBS (Matching Pixel Count Multiple Baseline Stereo) 유사도 측정 방법을 제안하여 영상 정합 시 발생하는 Boundary overreach 현상을 줄이고 정합의 정확도와 정밀도를 개선하였다. 이 방법은 정합 때 발생하는 중복 계산을 제거함으로써 계산 시간도 줄일 수 있다. 모델 생성 시에는 추출된 변위 정보를 2차원 보간에 의해 소수점 단위까지 확장하여 연속적인 표면 깊이 정보를 추출하였고, 이로부터 일정 간격의 초기 삼각형 매쉬 모델을 생성하였다. 또한 삼각형 매쉬 모델의 데이터 크기를 줄이기 위하여 사용자가 지정하는 오차 이내에서 같은 평면으로 근사화 되는 꼭지점을 병합하는 알고리듬을 제안하여 효율적인 얼굴 모델 생성이 이루어지도록 하였다.

• 한국측량학회지
• /
• 제28권2호
• /
• pp.281-287
• /
• 2010

본 연구에서는 지상레이저스캔 데이터의 보정을 위하여 변환 알고리즘을 비교하였다. 두 개 이상의 시점으로부터 취득된 스캔 데이터를 변환하는 데 많이 사용되는 pair-wise 변환은 오차가 누적된다. 스캔데이터간 보정에 많이 사용되는 ICP 알고리즘은 초기 기하정보가 필요하며, 여러 스캔데이터를 보정할 때 많은 기준점으로 인하여 동시에 보정하기 어렵다. 따라서 정합점을 이용한 글로벌 보정 방법을 수행하였다. 정합점은 SIFT를 이용하여 자동으로 강도영상으로부터 추출하였으며, GP 분석을 이용하여 글로벌 보정을 수행하였다. 제안된 글로벌 보정 방법은 연산속도, 정확도, 자동화 등에 있어서 장점을 지닌 것으로 나타났다. 본 연구의 성과를 이용하여 정합문제에 있어서 정확도와 속도를 적절히 고려한 보정방법을 개발할 수 있다.

• 한국측량학회지
• /
• 제37권2호
• /
• pp.55-62
• /
• 2019

The stereo geometry establishment based on the precise sensor modeling is prerequisite for accurate stereo data processing. Ground control points are generally required for the accurate sensor modeling though it is not possible over the area where the accessibility is limited or reference data is not available. For the areas, the relative orientation should be carried out to improve the geometric consistency between the stereo data though it does not improve the absolute positional accuracy. The relative orientation requires conjugate points that are well distributed over the entire image region. Therefore the automatic conjugate point extraction is required because the manual operation is labor-intensive. In this study, we applied the method consisting of the key point extraction, the search space minimization based on the epipolar line, and the rigorous outlier detection based on the RPCs (Rational Polynomial Coefficients) bias compensation modeling. We tested different parameters of window sizes for Kompsat-2 across track stereo data and analyzed the RPCs precision after the bias compensation for the cases whether the epipolar line information is used or not. The experimental results showed that matching outliers were inevitable for the different matching parameterization but they were successfully detected and removed with the rigorous method for sub-pixel level of stereo RPCs precision.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.667-668
• /
• 2015

While the plant projects grow bigger and global attention to the plant is increasing, efficient space arrangement is not working in plant project because of the complex structure in installing the equipment unlike the construction project. In addition to this, presently, problem in installation process caused by the disagreement between floor plan and real spot is rising. Therefore the target of this research is to solve the problems and reaction differences, caused by changing the space arrangement in installing the equipment of plant construction. And this research suggests the equipment arrangement method for construction and related processes. To solve the problem, 3D cloud point data of space and equipment is collected by 3D laser scanning and the space matching is operated. In processing the space matching, data is simplified by applying the octree algorithm. This research simplifies the 3D configuration data acquired by 3D scanner equipment through the octree algorithm, and by comparing this data, identifies the space for target equipment, and finally suggests the algorithm that makes the auto space arrangement of equipment possible in construction site and also suggests the process to actualize this algorithm.

• 한국BIM학회 논문집
• /
• 제13권4호
• /
• pp.96-105
• /
• 2023

This study focuses on developing a building object recognition technology for efficient use in the remodeling of buildings constructed without drawings. In the era of the 4th industrial revolution, smart technologies are being developed. This research contributes to the architectural field by introducing a deep learning-based method for automatic object classification and recognition, utilizing point cloud data. We use a TD3D network with voxels, optimizing its performance through adjustments in voxel size and number of blocks. This technology enables the classification of building objects such as walls, floors, and roofs from 3D scanning data, labeling them in polygonal forms to minimize boundary ambiguities. However, challenges in object boundary classifications were observed. The model facilitates the automatic classification of non-building objects, thereby reducing manual effort in data matching processes. It also distinguishes between elements to be demolished or retained during remodeling. The study minimized data set loss space by labeling using the extremities of the x, y, and z coordinates. The research aims to enhance the efficiency of building object classification and improve the quality of architectural plans by reducing manpower and time during remodeling. The study aligns with its goal of developing an efficient classification technology. Future work can extend to creating classified objects using parametric tools with polygon-labeled datasets, offering meaningful numerical analysis for remodeling processes. Continued research in this direction is anticipated to significantly advance the efficiency of building remodeling techniques.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2002년도 춘계학술대회 논문집
• /
• pp.466-469
• /
• 2002

Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

• 대한토목학회논문집
• /
• 제34권5호
• /
• pp.1639-1644
• /
• 2014

SAR 센서는 마이크로파를 이용한 능동센서로 기상조건에 상관없이 영상을 취득할 수 있다는 장점이 있어, 국토관리 및 재해 모니터링 등에 활발히 활용되고 있다. 주기적으로 취득되는 SAR 영상을 효과적으로 활용하기 위해서는 자동화된 영상 정합기법이 필요하지만 영상의 촬영 시간 및 기하에 따라 다른 양상의 기하조건을 가진 취득됨에 따라 충분한 정합 정확도를 기대하기 어렵다. 이에 본 연구에서는 기울기 속성을 추가한 MI (Mutual Information) 기법과 FMT (Fourier-Mellin Transform)기법, SIFT (Scale-Invariant Feature Transform) 기법을 임의의 변위와 회전 공차를 적용하고, 해상도를 변화시킨 TerraSAR-X 영상에 적용하여 그 결과를 비교하였다. 비교 결과, MI 기법의 경우엔 서로 상이한 기하에서 촬영된 영상에 적용하였을 때에도 일정 크기의 영상소가 다수 분포할 경우 0~2 픽셀 수준의 정확도를 지닐 수 있는 반면, FMT 기법의 경우에는 같은 사물에 대해서도 그 영상소 값이 서로 상이하여 정합 오차가 수십에서 수백 픽셀로 나타났다. 또한 SIFT 기법의 경우에도 영상 정합을 위한 공액점의 정확도가 0~17 % 수준으로 매우 낮아 서로 상이한 기하조건으로 취득된 SAR 영상에 적용이 어려울 것으로 나타났다.

• International journal of advanced smart convergence
• /
• 제8권2호
• /
• pp.227-236
• /
• 2019

In this study, we develop a Korotkoff sound based automatic blood pressure measurement device including sensor, hardware, and analysis algorithm. PVDF-based sensor pattern was developed to function as a vibration sensor to detect of Korotkoff sounds, and the film's output was connected to an impedance-matching circuit. An algorithm for determining starting and ending points of the Korotkoff sounds was established, and clinical data from subjects were acquired and analyzed to find the relationship between the values obtained by the auscultatory method and from the developed device. The results from 86 out of 90 systolic measurements and 84 out of 90 diastolic measurements indicate that the developed device pass the validation criteria of the international protocol. Correlation coefficients for the values obtained by the auscultatory method and from the developed device were 0.982 and 0.980 for systolic and diastolic blood pressure, respectively. Blood pressure measurements based on Korotkoff sound signals obtained by using the developed PVDF film-based sensor module are accurate and highly correlated with measurements obtained by the traditional auscultatory method.

• International Journal of Advanced Culture Technology
• /
• 제7권1호
• /
• pp.64-69
• /
• 2019

With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.