• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.163-165
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• 2006

We aim to archive all the satellite images that had been scattered into Satellite Imagery Information System with setting naming rules and metadata. More than one million of scenes were collected, rectified into error-free status with metadata . Converting various formats into HDF format after considering GEOTIFF and HDF. Intranet and Internet System had been development to allow all the images to be searched and downloaded with less effort. These system will expand the usage of meteorological satellite images for expert groups and the public outside of KMA.

• 방송공학회논문지
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• 제13권2호
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• pp.236-244
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• 2008

본 논문에서는 칼라 세그멘테이션, 에지 정합, 지각적 그룹핑 등을 사용하여 Lidar 데이터와 광학 영상의 정보 융합에 의한 새로운 구조물 검출 및 복원 알고리듬을 제안한다. 제안하는 알고리듬은 두 가지 단계로 구성된다. 첫 번째로, 항공 Lidar 데이터로부터 초기 구조물 추출 결과와 영상의 칼라 세그멘테이션 결과를 사용하여 coarse building boundary를 추출한다. 두 번째로, coarse building boundary와 에지 정합 및 지각적 그룹핑에 의해 보다 정밀한 구조물 추출 결과인 precise building boundary를 추출한다. 본 논문에서 제안하는 알고리듬은 보다 신뢰성 있는 구조물 검출을 위해, 광학 영상으로부터 칼라 정보를 사용한다. 이를 통해, Lidar에 의해 획득된 붕괴된 형태의 구조물 외곽선을 보완한다. 또한, 인공지물의 특징으로서, 에지의 직선성 및 다면체 형태의 지붕모양을 반영함으로써 신뢰성 있는 구조물을 검출한다. 다중 센서 데이터에 대한 실험은 제안하는 알고리듬이 Lidar 단일 센서 결과에 비해 정밀하고 신뢰성 있는 결과를 보여준다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.413-416
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• 2006

As even small features can be classified as high resolution imagery, urban remote sensing is regarded as one of the important application fields in time of wide use of the commercialized high resolution satellite imageries. In this study, we have analyzed the variogram properties of high resolution imagery, which was obtained in urban area through the simple modeling and applied to the real image. Based on the grasped variogram characteristics, we have tried to decomposed two high-resolution imagery such as IKONOS and QuickBird reducing window size until the unique variogram that urban feature has come out and then been indexed. Modeling results will be used as the fundamental data for variographic analysis in urban area using high resolution imagery later on. Index map also can be used for determining urban complexity or land-use classification, because the index is influenced by the feature size.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.241-244
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• 2005

Many building detection methods mainly rely on line segments extracted from aerial or satellite imagery. Building detection methods based on line segments, however, are difficult to succeed in high resolution satellite imagery such as IKONOS imagery, for most buildings in IKONOS imagery have small size of roofs with low contrast between roof and background. In this paper, we propose an efficient method to extract line segments and group them at the same time. First, edge preserving filtering is applied to the imagery to remove the noise. Second, we segment the imagery by watershed method, which collects the pixels with similar intensities to obtain homogeneous region. The boundaries of homogeneous region are not completely coincident with roof boundaries due to low contrast in the vicinity of the roof boundaries. Finally, to resolve this problem, we set up snake model with segmented region boundaries as initial snake's positions. We used a greedy algorithm to fit a snake to roof boundary. Experimental results show our method can obtain more .correct roof boundary with small size and low contrast from IKONOS imagery. Snake algorithm, building roof detection, watershed segmentation, edge-preserving filtering

• 국제물리치료학회지
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• 제1권2호
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• pp.155-161
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• 2010

Purpose: The purpose of this study was to estimate the effects of subliminal music with balance imagery training on balance and concentration. Methods: The participants were 45 seniors in an undergraduate school in Korea. The subliminal music with balance imagery training intervention was carried out for 20 minutes. Other interventions were also carried out for 20 minutes. 12 seniors(Group A) listened to subliminal music with balance imagery training, 12 seniors(Group B) listened to subliminal music, 11 seniors(Group C) received balance imagery training, and 10 seniors(Group D) had no intervention(Control group). The grid test is related to measured levels of concentration intensity. Romberg one legged standing test was carried out for 30 seconds. The collected data was analyzed by one-paired t test and one way ANOVA using the SPSS Windows 12 ver. program. Results: The major findings of this study were as follows: Concentration levels of Group A and C improved, and balance levels of Group C and D improved. There was a statistically significant decrease in concentration between Group A and B, Group A and C after intervention. Conclusion: These findings suggest that listening to subliminal music with balance imagery training may be useful in managing concentration in seniors. So it provides basic information for further concentration on improving education on music with balance imagery training.

• Spatial Information Research
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• 제9권1호
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• pp.31-50
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• 2001

이 연구는 공간영상정보의 대표적인 포맷으로 GeoTIFF, SDTS, HDF, BIIF를 크게 두부분으로 나누어 비교·분석하였다. 첫 번째는 각 포맷의 명세를 살펴보고 4가지 기준-확장성, 호환성, 범용성, 장기적인 안정성-에 기초하여 비교하였다. 두 번째는 실제적인 활용현황 및 호환성 평가로써 현재 많이 사용되는 상용 소프트웨어 5가지를 이용하여 각 포맷의 입출력 가능성과 서로간의 호환성을 조사하였다. 그 결과 4가지 포맷 중 현재로서는 GeoTIFF가 공간영상정보를 다루는데 있어 비교우위에 있음을 알 수 있었다. 그러나 앞으로 공간영상정보가 다양해지고 대용량화해짐에 따라 수많은 포맷이 개발되고 갱신될 것이므로 표준으로 하나의 포맷만을 계속 고집해서는 안 된다고 보여진다. 지속적인 연구를 통해 적절한 표준포맷을 제시함이 바람직하며, 또한 지속적인 정책지원이 따라야 할 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.59-64
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• 2002

This paper presents a method for line segment extraction for 3-d building reconstruction. Building roofs are described as a set of planar polygonal patches, each of which is extracted by watershed-based image segmentation, line segment matching and coplanar grouping. Coplanar grouping and polygonal patch formation are performed per region by selecting 3-d line segments that are matched using epipolar geometry and flight information. The algorithm has been applied to high resolution aerial images and the results show accurate 3-d building reconstruction.

• 대한원격탐사학회지
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• 제21권5호
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• pp.383-392
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• 2005

Vegetation classes, especially grass and tree classes, are often confused in classification when conventional spectral pattern recognition techniques are used to classify urban areas. This paper reports on a study to improve the classification results by using an automated process of considering height information in separating urban vegetation classes, specifically tree and grass, using three-band, high-spatial resolution, digital aerial imagery. Height information was derived photogrammetrically from stereo pair imagery using cross correlation image matching to estimate differential parallax for vegetation pixels. A threshold value of differential parallax was used to assess whether the original class was correct. The average increase in overall accuracy for three test stereo pairs was $7.8\%$, and detailed examination showed that pixels reclassified as grass improved the overall accuracy more than pixels reclassified as tree. Visual examination and statistical accuracy assessment of four test areas showed improvement in vegetation classification with the increase in accuracy ranging from $3.7\%\;to\;18.1\%$. Vegetation classification can, in fact, be improved by adding height information to the classification procedure.

• 대한원격탐사학회지
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• 제27권6호
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• pp.717-728
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• 2011

An efficient method for the unsupervised classification of high resolution imagery is suggested in this paper. It employs pixel-linking and merging based on the adjacency graph. The proposed algorithm uses the neighbor lines of 8 directions to include information in spatial proximity. Two approaches are suggested to employ neighbor lines in the linking. One is to compute the dissimilarity measure for the pixel-linking using information from the best lines with the smallest non. The other is to select the best directions for the dissimilarity measure by comparing the non-homogeneity of each line in the same direction of two adjacent pixels. The resultant partition of pixel-linking is segmented and classified by the merging based on the regional and spectral adjacency graphs. This study performed extensive experiments using simulation data and a real high resolution data of IKONOS. The experimental results show that the new approach proposed in this study is quite effective to provide segments of high quality for object-based analysis and proper land-cover map for high resolution imagery of urban area.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.950-953
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• 2006

SIMP is an international project funded by INTAS aimed at improving the information content, which can be inferred from multi-sensor satellite imagery of marine coastal areas. Scientific teams from Germany, UK, Portugal, and Russia focus on the development of novel tools for marine remote sensing of the coastal zone. In particular, the project teams' benefit from the fact that surface films may enhance the signatures of hydrodynamic processes such as plumes, internal waves, eddies, etc., on microwave, optical, and infrared imagery. The project's objectives are to develop a robust methodology for identifying slick-related phenomena/processes through their surface signatures and thereby, to improve the discrimination capabilities between slicks and other oceanic and atmospheric phenomena by taking into account information gained from satellite imagery quasi-simultaneously recorded at microwave, visible and IR wavelengths. The results of the two project years are summarized. Examples are given for the project’s web presentation, laboratory and field experiments, and of the analyses of various satellite data.