• 한국정밀공학회지
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• 제23권10호
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• pp.22-29
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• 2006

This paper considers the lens distortions such as a fisheye distortion and a perspective distortion. While a fisheye lens has a wide field-of-view, it causes a large distortion to the images. Regardless of a fisheye lens or a rectilinear lens, a lens generates perspective distortion in a vertical direction when the lens views in an upward direction or downward direction. These distortions deform images differently from human visual functions. Therefore, this paper presents a method to correct the distortions, and whereby, the research in this paper enlarges choices of images to image processing algorithm that may select the distorted images and the corrected images depending on applications. An infinite polynomial model is employed in the fisheye radial distortion correction, and the vertical perspective distortion correction is done by using a vanishing point. The methods introduced in this paper are implemented on the images captured by a rear-view camera installed on a vehicle and showed their robustness of the correction.

• Spatial Information Research
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• 제11권4호
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• pp.421-437
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• 2003

전산화된 지적도를 그대로 사용하여 필지경계점 위치, 필지면적, 필지경계선의 길이를 계산하고, 법적으로 유효한 도면으로 사용하기 위해서는 왜곡을 보정하여야 한다. 왜곡보정방법으로서 4 도곽점을 이용한 2차원부등각변환법, 지적도를 9개의 영역으로 분할하는 방법, 세부측량원도를 이용하는 방법, 도곽선을 직선화하면서 보정하는 방법들이 연구되었다. 본 연구에서는 이 네가지 보정방법을 지적도에 적용하여 필지경계점의 위치 보정을 하고, 그 보정의 정확도를 비교 분석하였다. 불규칙적으로 일어난변형을 완전하게 보정할 수는 없으나, 4 도곽점을 이용하여 2차원투영변환으로 보정한 후 도곽선 직선화에 의한 보정을 추가하는 것이 왜곡을 최소화할 수 있는 방안으로 판단되었다.

• 대한공간정보학회지
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• 제19권4호
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• pp.55-63
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• 2011

어안렌즈는 사각이 넓어서 터널 내부 벽면의 영상을 취득하는 데 유용하다. 원통투영의 원리를 이용하여 어안렌즈터널 영상을 우리의 눈에 익숙한 일반 영상으로 변환시킬 수 있는데, 이 과정에서 여러 종류의 왜곡이 발생하게 된다. 본 논문은 투영영상의 터널 바닥면과 벽면 사이 경계선에서 발생하는 왜곡을 다루고 있다. 경계선 왜곡의 발생 원인을 분석하고 모형을 제작하여 보정량 계산식을 유도하였다. Visual C++로 제작한 소프트웨어를 이용하여 계산된 보정량을 투영영상에 적용한 결과 경계선이 보정된 영상을 얻을 수 있었다. 투영영상에 나타난 다른 왜곡에 대한 연구가 추가된다면 어안렌즈 영상을 통해 실제 터널 벽면과 유사한 영상을 얻을 수 있을 것으로 기대된다.

• 한국측량학회지
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• 제17권3호
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• pp.257-264
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• 1999

본 연구는 근거리 수치사진의 카메라 렌즈방사왜곡의 보정에 있어서, 기존 상용 소프트웨어의 최소제곱법에 의한 좌표변환방법인 기하보정툴을 사용하지 않고, 주변환식으로는 카메라 검정자료에서 제공되는 고차다항식을, 역변환에 있어서는 Newton-Raphson의 비선형 방정식의근의 해법을 직접 사용하여 렌즈방사왜곡을 보정함으로써 기하학적 정확도가 최소제곱법에 의한 좌표변환방법에 비하여 약 0.04∼0.08화소 향상된 수치 사진화상을 얻을 수 있었다. 또한 기존 소프트웨어에 있어서는 고차다항식의 최소제곱법 적용을 위해서 동일한 경중률의 많은 기준점의 선정작업을 필요로 하나, 본 연구에서 제시한 기법은 이 작업이 필요 없으므로 작업의 효율성을 높일 수 있었다.

• 대한원격탐사학회지
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• 제40권3호
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• pp.257-268
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• 2024

Drone-mounted hyperspectral sensors (DHSs) have revolutionized remote sensing in agriculture by offering a cost-effective and flexible platform for high-resolution spectral data acquisition. Their ability to capture data at low altitudes minimizes atmospheric interference, enhancing their utility in agricultural monitoring and management. This study focused on addressing the challenges of radiometric and geometric distortions in preprocessing drone-acquired hyperspectral data. Radiometric correction, using the empirical line method (ELM) and spectral reference panels, effectively removed sensor noise and variations in solar irradiance, resulting in accurate surface reflectance values. Notably, the ELM correction improved reflectance for measured reference panels by 5-55%, resulting in a more uniform spectral profile across wavelengths, further validated by high correlations (0.97-0.99), despite minor deviations observed at specific wavelengths for some reflectors. Geometric correction, utilizing a rubber sheet transformation with ground control points, successfully rectified distortions caused by sensor orientation and flight path variations, ensuring accurate spatial representation within the image. The effectiveness of geometric correction was assessed using root mean square error(RMSE) analysis, revealing minimal errors in both east-west(0.00 to 0.081 m) and north-south directions(0.00 to 0.076 m).The overall position RMSE of 0.031 meters across 100 points demonstrates high geometric accuracy, exceeding industry standards. Additionally, image mosaicking was performed to create a comprehensive representation of the study area. These results demonstrate the effectiveness of the applied preprocessing techniques and highlight the potential of DHSs for precise crop health monitoring and management in smart agriculture. However, further research is needed to address challenges related to data dimensionality, sensor calibration, and reference data availability, as well as exploring alternative correction methods and evaluating their performance in diverse environmental conditions to enhance the robustness and applicability of hyperspectral data processing in agriculture.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1998년도 전력전자학술대회 논문집
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• pp.438-443
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• 1998

A simple single-stage AC/DC forward converter with transformer magnetic energy feedback technique for power factor correction is proposed. The operational principle of the proposed converter is presented. The proposed converter gives the good power factor correction, low line current harmonic distortions, and tight output voltage regulation. The prototype shows high power factor with low line current harmonics.

• Journal of Welding and Joining
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• 제10권1호
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• pp.20-34
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• 1992

Characteristics of two correcting methods, a new Autogeneous GTAW heating (TIG) method and the conventional GMAW bead-on plate welding(MIG) method, for distorted aluminum fabrication structures were studied. As a result of microscopic study of Autogeneous GTAW heating and GMAW bead-on plate welding areas, porosities in weld metal and surface cracks in local heating zone were found. Through the mechanical tests, it was verified that porosities decrease tensile strength and surface of distortion, angular displacement and transeverse shrinkage were measures and compared. In order to investigate changes of material properties in heating area and cause of defects such thermal stresses were calculated by ADINA. Through the computations of transient thermal stresses and microscopic observation of fracture surface, thermal stress was found to be the cause of crack during Autogeneous GTAW heating.

• 대한원격탐사학회지
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• 제12권1호
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• pp.26-42
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• 1996

CCD 지구 영상 실험 장치(CCD Earth Images Experiment, CEIE)는 우리별 1호의 탑재 체중의 하나이다. 우리별 1호가 발사된 후에 CEIE는 이제까지 약 500여장의 세계 곳곳의 지표면 영상을 촬영하였다. 내재한 방사학적(radiometric) 오차 및 기하학적(goemetric) 찌그러짐으로 인 해, 관측된 영상은 지표면의 모습과 아주 다르다. 관측된 영상을 다양한 목적의 응용을 위해 처리 하고 분석하기 전에 이러한 오차를 제거하기 위한 전처리 과정을 반드시 수행하여야 한다. 이 논 문은 우리별 1호가 관측한 영상에 방사학적 및 기하학적 보정을 수행하는 전처리 과정을 설명한 다.

• 전자공학회논문지S
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• 제34S권1호
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• pp.94-104
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• 1997

Most color imaging devices often exhibit color distortions due to the differences in realizable color gamuts and nonlinear characteristics of their components. In order to minimize color differences, it is desirable to apply color correction techniques. Th efirst step of color correction is to select the subset of the color coordinates representing the input color space. Th eselected subset serves as so called color samples to model the color distortion of a given color imaging device. The effectiveness of color correction is determined by the color sampels utilized in the modeling as well as the applied color correction technique. This paper presents a new selection method for color samples based on gentic algorithm. In the proposed method, structure of strings are designed so that the selected color samples fully represent the characteristics of color imaging device and consist of distinct color coordinates. To evaluate the performance of the selected color samples, they ar etuilized for three different color correction experiments. The experimentsal results are comapred with the crresponding results obtianed with the equally spaced color samples.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.3-7
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• 1999

The images of the meteorological satellite NOAA contain geometrical distortions caused by its ambiguous position, its vibration, its sensor's movement, and so on. Geometric correction of satellite images is one of the most important parts in many remote sensing as the primary processing. Ground control points (GCP's) are necessary to check the accuracy of geometric correction and used for precise geometric correction. In this paper, a method for automatically selecting the residual error is presented. Calculating the effective angle and residual errors vector using the succeeded matching GCP's, precise geometric correction using an affine transformation is applied to systematically a corrected image. And the error is decreased by an affine transformation. The above enable the geometric correction of high quality.