• 대한원격탐사학회지
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• 제25권6호
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• pp.517-529
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• 2009

Many satellite image fusion techniques have been developed in order to produce a high resolution multispectral (MS) image by combining a high resolution panchromatic (PAN) image and a low resolution MS image. Heretofore, most high resolution image fusion techniques have used IKONOS and QuickBird images. Recently, GeoEye-1, offering the highest resolution of any commercial imaging system, was launched. In this study, we have experimented with GeoEye-1 images in order to evaluate which fusion algorithms are suitable for these images. This paper presents compares and evaluates the efficiency of five image fusion techniques, the $\grave{a}$ trous algorithm based additive wavelet transformation (AWT) fusion techniques, the Principal Component analysis (PCA) fusion technique, Gram-Schmidt (GS) spectral sharpening, Pansharp, and the Smoothing Filter based Intensity Modulation (SFIM) fusion technique, for the fusion of a GeoEye-1 image. The results of the experiment show that the AWT fusion techniques maintain more spatial detail of the PAN image and spectral information of the MS image than other image fusion techniques. Also, the Pansharp technique maintains information of the original PAN and MS images as well as the AWT fusion technique.

• 응용통계연구
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• 제17권3호
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• pp.605-617
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• 2004

데이터마이닝에서 가장 중요한 요소 중 하나는 마이닝에 사용될 데이터의 질이다. 질 높은 데이터를 바탕으로 마이닝이 수행될 때, 데이터마이닝의 잠재적 가치는 증대될 것이다. 본 논문에서는 지식발견 과정 중 데이터의 질을 향상시키기 위한 한 단계인 데이터 보강을 위해 데이터 통합 기법을 제안하고, 모의실험을 통해 제안된 알고리즘의 효율성을 비교하였다. 실험결과 제안된 알고리즘이 데이터 통합의 성능을 향상시킴을 알 수 있었다.

• 항공우주기술
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• 제8권2호
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• pp.26-32
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• 2009

위성영상의 융합에 있어, 가장 중요한 점은 전정영상의 공간적 세밀함과 다중분광영상의 분광정보 모두를 보존하는 것이다. 다양한 영상융합 기법 중에서, IHS 변환을 이용한 융합기법은 폭넓게 사용되고 있으며, 계산과정이 매우 단순하다는 장점을 갖고 있다. 본 연구에서는, fast IHS 변환과 trade-off 파라미터 $\alpha^i$를 이용한 융합기법을 제안한다. 제안한 융합 기법은 분광 ERGAS와 공간 ERGAS의 평가를 통하여, 융합영상에서 분광정보와 공간적 세밀함 사이의 trade-off 최적화를 가능하게 한다. IKONOS 영상의 실험결과, 제안한 기법은 기존의 fast IHS 변환을 이용한 융합기법에 비해 공간적 세밀함과 분광정보의 보존측면에서 더 효과적임을 확인할 수 있었다.

• Communications for Statistical Applications and Methods
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• 제12권2호
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• pp.509-520
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• 2005

Data fusion is defined as the process of combining data and information from different sources for the effectiveness of the usage of useful information contents. In this paper, we propose a data fusion algorithm using k-means clustering method for data enrichment to improve data quality in knowledge discovery in database(KDD) process. An empirical study was conducted to compare the proposed data fusion technique with the existing techniques and shows that the newly proposed clustering data fusion technique has low MSE in continuous fusion variables.

• 안보군사학연구
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• 통권1호
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• pp.191-229
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• 2003

Multi-sensor data fusion techniques combine evidences from multiple sensors in order to get more accurate and efficient meaningful information through several process levels that may not be possible from a single sensor alone. One of the most important parts in the data fusion system is the identification fusion, and it can be categorized into physical models, parametric classification and cognitive-based models, and parametric classification technique is usually used in multi-sensor data fusion system by its characteristic. In this paper, we propose a novel heuristic identification fusion method in which we adopt desirable properties from not only parametric classification technique but also cognitive-based models in order to meet the realtime processing requirements.

• 대한공간정보학회지
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• 제14권1호
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• pp.21-27
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• 2006

영상융합의 많은 방법들 중에 IHS 기법은 많은 대용량의 자료를 빨리 융합할 수 있는 장점을 가지고 있다. IKONOS 영상에 대하여 IHS기법은 향상된 공간해상도의 결과를 보여주고 있으나 분광의 왜곡을 포함하고 있다. 즉, 융합된 다중파장대 영상과 원래 다중파장대영상의 비교시 분광정보의 왜곡이 나타난다. 이러한 문제를 해결하기 위해서 본 연구에서는 분광정보 조정을 통하여 빠른 처리 속도를 지니는 IHS기법을 제안하였다. 실험결과 제안된 방법은 고전적인 IHS 융합기법보다 속도와 영상 질의 측면에서 더 나은 결과를 보여주었다.

• 한국가스학회지
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• 제16권1호
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• pp.22-25
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• 2012

Welding and/or fusion in polyethylene(PE) system made on site is focused on the control of the welding or fusion process to follow proper procedure. The process control is important, but it is not sufficient for the long term reliability of a pipe system. To achieve the rate of failure close to zero, Non Destructive Testing(NDT) is necessary in addition to joining process control. For electrofusion joints several non-destructive testing methods are available. The ultrasonic phased array technique is possible to detect various defects including wire deviations and regions with lack of fusion. In this studies, testing was carried to detect the defect after electrofusion joining of polyethylene piping is utilized by the ultrasonic phased array technique. From testing data, ultrasonic phased array technique is recommended as a reliable non-destructive testing method.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.187-192
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• 2006

Image fusion techniques are widely used to integrate a lower spatial resolution multispectral image with a higher spatial resolution panchromatic image. However, the existing techniques either cannot avoid distorting the image spectral properties or involve complicated and time-consuming decomposition and reconstruction processing in the case of wavelet transform-based fusion. In this study a simple spectral preserve fusion technique: the Smoothing Filter-based Replacement(SFR) is proposed based on a simplified solar radiation and land surface reflection model. By using a ratio between a higher resolution image and its low pass filtered (with a smoothing filter) image, spatial details can be injected to a co-registered lower resolution multispectral image minimizing its spectral properties and contrast. The technique can be applied to improve spatial resolution for either colour composites or individual bands. The fidelity to spectral property and the spatial quality of SFM are convincingly demonstrated by an image fusion experiment using IKONOS panchromatic and multispectral images. The visual evaluation and statistical analysis compared with other image fusion techniques confirmed that SFR is a better fusion technique for preserving spectral information.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.23-28
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• 2004

This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations. Finally, the new space and time sensor fusion(STSF) scheme is applied to the control of a mobile robot in an unstructured environment as well as structured environment.

• 응용통계연구
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• 제19권2호
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• pp.291-303
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• 2006

대용량의 데이터로부터 의미있는 지식을 찾는 과정에서 데이터의 질은 무엇보다도 중요하다. 본 연구에서는 데이터의 충실도를 높이기 위한 방법으로 여러 경로로부터 수집된 데이터의 정보를 활용하기 위해 데이터 마이닝 알고리즘인 의사결정 규칙을 이용한 데이터 통합 기법을 제안하고, 실제 데이터를 이용하여 모의실험을 통해 제안된 알고리즘의 효율성을 비교하였다. 실험결과 제안된 알고리즘이 데이터 통합의 성능을 향상시킴을 알 수 있었다.