• Korean Journal of Remote Sensing
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• v.35 no.6_1
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• pp.945-957
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• 2019

In this study, we propose a coarse to fine image registration method for eliminating geometric error between images over agricultural areas acquired using Unmanned Aerial Vehicle (UAV). First, images of agricultural area were acquired using UAV, and then orthophotos were generated. In order to reduce the probability of extracting outliers that cause errors during image registration, the region of interest is selected by using the metadata of the generated orthophotos to minimize the search area. The coarse image registration was performed based on the extracted tie-points using the Speeded-Up Robust Features (SURF) method to eliminate geometric error between orthophotos. Subsequently, the fine image registration was performed using tie-points extracted through the Mutual Information (MI) method, which can extract the tie-points effectively even if there is no outstanding spatial properties or structure in the image. To verify the effectiveness and superiority of the proposed method, a comparison analysis using 8 orthophotos was performed with the results of image registration using the SURF method and the MI method individually. As a result, we confirmed that the proposed method can effectively eliminated the geometric errors between the orthophotos.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1155-1169
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• 2010

This study considers movement-based registration (MBR). In MBR, a mobile station (MS) performs location registration whenever the number of entering cells reaches the specified movement threshold M. MBR is simple and its implementation is quite straightforward. However, it may result in more registrations than other similar schemes. An improved MBR scheme called MBIR (MBR with implicit registration) was proposed to reduce registration cost of MBR and its approximated performance was analyzed. In this study, we point out some problems of the previous analysis method and propose an exact analysis method of MBIR. Using the exact analysis method, we show that the previous analysis includes considerable errors and improvement of MBIR in our study seems to be larger than in the previous study.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.830-832
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• 1999

청주 LG산전 전력시험기술센터에는 LG산전에서 생산하고 있는 모든 전력량계를 관련규격에 따라 자동으로 시험할 수 있는 분리형 펄스 장치[1]와, 전력량계 회전 감지용 센서 및 카운터, 측정용 소프트웨어를 보유하고 있다. 기존 소프트웨어는 개발 당시 등록한 모든 전력량계에 한해서 관련규격에 따라 자동으로 시험하고 각 전력량계에 대한 개별 오차와 평균 오차, 개별오차와 평균오차와의 차이를 계산하고, 계산결과를 출력할 수 있는 기능들을 지니고 있었다. 그러나 기존 소프트웨어에는 새로운 시험환경을 등록할 수 있는 기능이 없었다. 따라서 G산전에서 생산되는 전력량계가 다양화됨에 따라 새로운 전력량계도 시험할 수 있도록 기존 소프트웨어를 수정하지 않을 수 없었다. 이러한 문제로 인해 LG산전에서는 기존 소프트웨어가 가지고 있는 문제점을 해결하고 데이터 관리 및 성적서 작성 기능과 같은 새로운 기능을 가진 소프트웨어를 개발하게 되었다. 따라서, 본 논문에서는 측정용 소프트웨어 개발 과정과 새로운 기능들 현장 적용 결과를 발표하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.687-693
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• 2006

Image co-registration is the process of overlaying two images of the same scene, one of which represents a reference image, while the other is geometrically transformed to the one. In order to improve efficiency and effectiveness of the co-registration approach, the author proposed a pre-qualified area matching algorithm which is composed of feature extraction with canny operator and area matching algorithm with cross correlation coefficient. For refining matching points, outlier detection using studentized residual was used and iteratively removes outliers at the level of three standard deviation. Throughout the pre-qualification and the refining processes, the computation time was significantly improved and the registration accuracy is enhanced. A prototype of the proposed algorithm was implemented and the performance test of 3 Landsat images of Korea. showed: (1) average RMSE error of the approach was 0.435 pixel; (2) the average number of matching points was over 25,573; (3) the average processing time was 4.2 min per image with a regular workstation equipped with a 3 GHz Intel Pentium 4 CPU and 1 Gbytes Ram. The proposed approach achieved robustness, full automation, and time efficiency.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.351-354
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• 2021

본 연구에서는 기존 업체들이 활용하고 있는 반려동물 생체인식 기술 기반 통합 서비스 앱을 제안한다. 이 앱은 반려동물 미등록자의 미등록 사유를 바탕으로, 접근성 및 노출 빈도가 높은 스마트폰 앱으로, 등록 방식은 안면, 비문, 홍채, DNA 등록을 활용한다. 하나의 생체인식 방법을 사용하는 것이 아닌 다중 인식 방법을 제공하고, 각 인식 방법별 정확도의 비중을 달리하여 오차를 줄이고, 기존의 등록 방식 및 앱과의 차별화를 시도하고자 한다. 또한, CUPET 앱은 단순 등록에 그치지 않고, 실종 및 유기 동물 찾기, 예방접종 주기 및 반려동물 생애주기 정보 제공, 사용자들의 데이터 및 병원 연계를 통해 반려동물 유형별 병원 추천 등의 서비스를 제공하고자 한다. 본 연구에서 제안하는 CUPET 앱을 통하여, 등록 방식의 간략화로 반려동물 등록률 증가, 개인의 반려동물 인식 장치 소유 가능으로 실종 및 유기 동물에 대한 신속한 보호가 가능할 것으로 사료된다.

• Spatial Information Research
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• v.15 no.2
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• pp.123-134
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• 2007

The building boundary should be registered in the cadastral map for the protection of property using the expansion of the registration items in the cadastral record and the construction of 3D-cadastral information system. In this study, the efficiency of registering the building boundary was suggested by non-target TS survey through the comparison between target TS and non-target TS survey about an accuracy and efficiency. At the result of this research, the RMSE of target TS and non-target TS survey is the X; ${\pm}0.056m$ and Y; ${\pm}0.043m$. Therefore, non-target TS survey shows the high accuracy. Also, the non-target TS survey is more efficient cost on time and personnel than target TS.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.1
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• pp.9-15
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• 1998

Numerical cadastral surveying method has advantages of higher accuracy and less individual error than planetable surveying method if we consider the result of surveying at the same area. Now in the areas where they use numerical cadastral records, coordinate is the basis when the boundary location is registered in numerical cadastral re-cords or is reconstructed on land surface, and this coordinate represents simply the absolute locational relationship with respect to origin point. But when we register the cadastral boundary location in cadastral or reconstruct it on land, relative relationship with respect to traverse point is more advisable basis than absolute relationship with respect to orgin point. This study contributes to the numerical cadastral surveying by discussing the problems to be improved that the principle of coordinate based boundary location registration and reconstruction has.

• Korean Journal of Remote Sensing
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• v.34 no.6_3
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• pp.1351-1367
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• 2018

Image registration is an essential process for image fusion, change detection and time series analysis using multi-sensor images. For this purpose, we need to detect accurately the difference of scale and rotation between the multi-sensor images with difference spatial resolution. In this paper, we propose a new feature matching method using variable circular template for image registration between multi-resolution images. The proposed method creates a circular template at the center of a feature point in a coarse scale image and also a variable circular template in a fine scale image, respectively. After changing the scale of the variable circular template, we rotate the variable circular template by each predefined angle and compute the mutual information between the two circular templates and then find the scale, the angle of rotation and the center location of the variable circular template, respectively, in fine scale image when the mutual information between the two circular templates is maximum. The proposed method was tested using Kompsat-2, Kompsat-3 and Kompsat-3A images with different spatial resolution. The experimental results showed that the error of scale factor, the error of rotation angle and the localization error of the control point were less than 0.004, $0.3^{\circ}$ and one pixel, respectively.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.12
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• pp.69-76
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• 1998

This paper proposes a matrix which represents the confidence in the rotation components of the Iterative Closest Point (ICP) algorithm is image registratiion, The reliability of the ICP algorithm depends on the shape of the object. For example, an object with more complex features shows higher reliablility than the one with rotation symmetry such as a cylinder. We show that the reliablity of the ICP algorithm can be estimated when the input range data has additive noise. Finally, we demonstrate that the proposed reliability formula is in good agreement with the computer simulation.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.474-477
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• 2012

현대사회는 시각장애인에 대한 복지가 부족하다. 예를 들어 유도블럭의 홰손, 지폐의 점자처리의 모호함 등 시각장애인을 위해 만들어진 복지조차 사용하기 어려운게 현실이다. 그래서 우리는 무선카메라와 Window Phone을 이용하여 상기 불편함을 해소하기 위하여 이 프로젝트를 시작하였다. Guide Line Detection은 앞을 못 보는 시각장애인에게 무선카메라에 보이는 영상에서 유도블럭을 찾아 시각장애인과의 거리를 음성으로 알려준다. Bill Recognition은 지폐를 인식하여 음성으로 알려준다. 길 안내 기능은 길을 찾아가지 못하는 시각장애인에게 특정 지점마다 길 안내정보를 등록하고, 등록된 정보는 시각장애인이 실시간으로 길 안내를 받을 수 있다. 음성인식은 기기를 사용하기 힘든 시각장애인들에 대한 접근성을 높이기 위해 WinPhone Application이 제공하는 모든 기능을 흔들기와 음성만으로 사용할 수 있도록 제공한다. 무선카메라의 화질과 Window Phone의 GPS 불규칙적인 오차 때문에 많은 시행착오가 있었지만 무선카메라는 웹 캠으로, GPS오차는 BingMap API의 GPS 가상 좌표로 대체하여 프로젝트를 마칠 수 있었다.