• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.1
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• pp.19-28
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• 2019

Images captured by drone have the advantage of quickly constructing spatial information in small areas and are applied to fields that require quick decision making. If an image registration technique that can automatically register the drone image on the ortho-image with the ground coordinate system is applied, it can be used for various analyses. In this study, a methodology for geo-referencing of a single image and sequential images using drones was proposed even if they differ in spatio-temporal resolution using linear features and distinct points. Through the method using linear features, projective transformation parameters for the initial geo-referencing between images were determined, and then finally the geo-referencing of the image was performed through the template matching for distinct points that can be extracted from the images. Experimental results showed that the accuracy of the geo-referencing was high in an area where relief displacement of the terrain was not large. On the other hand, there were some errors in the quantitative aspect of the area where the change of the terrain was large. However, it was considered that the results of geo-referencing of the sequential images could be fully utilized for the qualitative analysis.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.141-150
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• 2011

Precise image-to-image registration is required to process multi-sensor data together. The purpose of this paper is to develop an algorithm that register between high-resolution optical and SAR images using linear features. As a pre-processing step, initial alignment was fulfilled using manually selected tie points to remove any dislocations caused by scale difference, rotation, and translation of images. Canny edge operator was applied to both images to extract linear features. These features were used to design a cost function that finds matching points based on their similarity. Outliers having larger geometric differences than general matching points were eliminated. The remaining points were used to construct a new transformation model, which was combined the piecewise linear function with the global affine transformation, and applied to increase the accuracy of geometric correction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.6
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• pp.667-675
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• 2011

In this paper, we propose an automatic image-to-image registration between high resolution multi-sensor images. To do this, TerraSAR-X image was shifted according to the initial translation differences of the x and y directions between images estimated using Mutual Information method. After that, the Canny edge operator was applied to both images to extract linear features. These features were used to design a cost function that finds matching points based on the similarities of their locations and gradient orientations. For extracting large number of evenly distributed matching points, only one point within each regular grid constructed throughout the image was extracted to the final matching point pair. The model, which combined the piecewise linear function with the global affine transformation, was applied to increase the accuracy of the geometric correction, and the proposed method showed RMSE lower than 5m in all study sites.

• Geophysics and Geophysical Exploration
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• v.4 no.3
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• pp.84-88
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• 2001

For the elastic migation, the velocity errors between the initial velocity model and true velocity model seriously affect the migrated images. The assumption of an initial velocity model, thus, is one of the critical factor for the successful migration. In case of applying the layered earth model as an initial velocity model, the layer boundary having large velocity contrast can not be defined well with conventional traveltime calculation algolithms and we have the difficulties for expressing the characteristics of the real subsurface. Smooth Background Model (SBM) we have applied as an initial velocity model in our study is characterized to be linearly varying the velocity with the depth, which can express the velocity variation in the subsurface properly. Thus it can properly be applied to traveltime calculation algolithms such as Vidale's method. In this study, Kirchhoff operator for prestack migration was used and the absolute amplitude obtained by modeling was applied as a weighted value to consider the true amplitude for initial model. Initial velocity model for migration was determined by using stacking velocity and we applied this model to real data.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1996.10a
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• pp.1075-1078
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• 1996

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5B
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• pp.551-555
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• 2006

In this study, new dispersion-correction terms are added to a leap-frog finite difference scheme for the linear shallow-water equations with the purpose of considering dispersion effects of the linear Boussinesq equations for propagation of tsunamis. The numerical model developed in this study is tested to the problem that the initial free surface displacement is a Gaussian hump over a constant water depth, and the predicted numerical results are compared with analytical solutions. The results of the present numerical model are accurate in comparison with those of existing models.

• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.627-640
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• 2011

이 논문에서는 일사량과 일조시간에 관한 통상적인 선형관계식보다 정확한 비선형 관계식에 대한 적용검토를 수행한다. 일조시간을 이용한 일사량 추정에 이어서 Penman-Monteith 방정식을 이용하여 기준 증발산량을 추정하였다. 우리나라 20개 지점의 1997년부터 2006년까지의 일사량 및 일조시간 자료를 포함한 기상자료를 이용하여 선형 그리고 수정 비선형 Angstrom 방정식을 보정하고 기준 증발산량을 추정하였다. 일조시간과 일사량 사이의 선형과 비선형 관계식을 이용한 기준 증발산량의 상대비교를 수행하였다. 선형 및 비선형 관계식을 이용한 방법 모두 RMS 오차는 5.96, NSC(Nash-Sutcliffe Coefficient)는 0.95로 추정되었고, 그 차이는 매우 미미하였다. 그러나 상대적으로 일사량이 기준 증발산량에 크게 기여하는 하계에는 그 차이가 증가하기 때문에 보다 개선된 비선형 관계식을 이용하는 방법에 대한 엄밀한 검토가 필요하다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.5C
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• pp.364-370
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• 2005

The first step of face recognition is to align an input face picture with database images. We propose a new algorithm of removing registration error in eigenspace. Our algorithm can correct for translation, rotation and scale changes. Linear matrix modeling of registration error enables us to compensate for subpixel errors in eigenspace. After calculating derivative of a weighting vector in eigenspace we can obtain the amount of translation or rotation without time consuming search. We verify that the correction enhances the recognition rate dramatically.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.10a
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• pp.235-235
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• 1999

화력 발전소의 드럼형 보일러 제어 프로세스에 있어 드럼 수위(Drum Level)의 정확한 측정은 매우 중요하다. 만약 드럼 수위가 불안정하게 되면 급수 유량 제어가 불안정하여 증기 온도 제어를 불안정하게 하고, 증기 온도의 변화는 보일러 출구 증기 압력을 변화시켜 연소 제어 계통을 불안정하게 한다. 결국 드럼 수위의 불안정은 발전소 전체 프로세스를 불안정하게 한다. 또한 드럼 수위의 오지시로 인해 수위가 과도하게 높아져 물이 터빈에 유입되면 터빈 날개의 파손을 가져오고, 반대로 수위가 너무 낮으면 과열로 인한 보일러 튜브의 파열을 초래하기도 한다. 특히, 보일러의 기동시 또는 과도상태일 때는 드럼 압력의 변화에 따른 water 및 steam의 밀도 변화로 인한 오차가 크며, 압력 대 밀도(비중)의 관계가 비선형 함수이므로 별도의 압력검출기에 의해 드럼 압력을 측정하여 압력 변화에 따른 오차를 보정해주어야 하는데 아날로그 시스템의 경우에는 이러한 압력 수위 보정을 기준 압력에 대해서만 하므로 기동시 또는 과도상태에서의 수위 제어에 많은 문제점이 있다. 본고에서는 이러한 보일러 드럼 수위 압력 보정의 유.무에 따라 드럼 수위 변화에 대해 시뮬레이션을 하여 압력 보정이 드럼 수위에 미치는 영향을 고찰하고자 한다.

• 기계와재료
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• v.22 no.1
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• pp.46-53
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• 2010

공작기계에서 가공정밀도를 저하시키는 가장 큰 요인은 열변형 및 채터진동이다. 본 고에서는 이 중 장시간 가공중 기계의 열변형에 따른 문제점을 자동으로 공작기계 CNC(Computerized Numerical Controller) 제어기상에서 실시간으로 보상하여 주는 장치 및 기술개발 사례에 대한 내용을 언급하고자 한다. 기계가공에서 온도신호의 실시간 데이터 취득 및 열변형에 따른 공작기계 원점(Work Offset)의 자율보정이 가공정밀도 향상 및 가동률 향상에 많은 영향을 끼친다 이에 따라 본 고에서는 온도 데이터의 취득부와 보상을 위한 보정값 추출을 위한 선형회귀법 및 신경회로망의 보정모델을 임베디드화한 디바이스와 CNC상에서 가공중 공작기계 원점 자동보정을 하는 시스템을 개발하였기에 관련내용을 소개하고자 한다.