• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.494-499
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• 2012

In this paper, a new method for detecting various objects that can be risks to safety navigation in sea environment is proposed. By analysing Infrared(IR) images obtained from various sea environments, we could find out that object regions include both horizontal and vertical direction edges while background regions of sea surface mainly include vertical direction edges. Therefore, we present an approach to detecting object regions considering horizontal and vertical edges. To this end, in the first step, image enhancement is performed by suppressing noises such as sea glint and complex clutters using a statistical filter. In the second step, a horizontal edge map and a vertical edge map are generated by 1-D Discrete Cosine Transform technique. Then, a combined map integrating the horizontal and the vertical edge maps is generated. In the third step, candidate object regions are detected by a adaptive thresholding method. Finally, exact object regions are extracted by eliminating background and clutter regions based on morphological operation.

• Journal of Korean Society for Geospatial Information Science
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• v.10 no.4 s.22
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• pp.95-103
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• 2002

The accuracy of Digital Map does not meet the user's expectation, including the many errors caused while producing the project, this will be useless resulting waste of enormous national budget. To solve this Accuracy problem, clear regulations about the position accuracy of scaled Digital Map should be set immediately and provide the users with accurate information about Digital Map enabling the users to use Digital Map for each GIS application field. For this reason, the position accuracy evaluation of existing Digital Maps produced in diverse methods is on demand. In this study, therefore, we performed horizontal position survey of local selected Facilities Total Station equipment to evaluate the horizontal position accuracy of 1:1,000, 1:5,000 scaled Digital Map, obtained standard deviation using the results, performed T-Test to confirm the presence of bias and evaluated the position accuracy of Digital Map.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1617-1623
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• 2018

It is necessary to develop a next generation location referencing method with higher accuracy as advanced technologies such as autonomous vehicles require higher accuracy of location data. Thus, we proposed a framework for a lane-level location referencing method (L-LRM) based on high-precision digital road network map, and developed a tool which is capable of analyzing and evaluating the proposed method. Firstly, the necessity and definition of location referencing method was presented, followed by the proposal of an L-LRM framework with a fundamental structure of high-precision digital road network map for the method. Secondly, an architecture of the analysis and evaluation tool was described and then the Windows application program was developed using C/C++ programming language. Finally, we demonstrated the performance of the proposed framework and the application program using two different high precision digital maps with randomly generated road event data.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.3
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• pp.101-108
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• 2012

The construction of data connection is required due to the digital map do not have the new address data which is implemented by the Korea government and it cannot use between government and other agency. The manually matching of digital map and new address data is time and money consuming process due to the huge amount of data. In this research, new system is developed for data generation of attribute data by the data connection method of digital map and new address data using spatial matching and matching rate of data connection is analyses. The results of data matching rate in the research area are 84% in building case and 67% in road case in 1:1000 digital map at Suwon and 18% in building case and 21% in road at Seogwipo.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.131-139
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• 2010

Recent spread of GIS and the increasing demand of spatial data have brought about the development of web GIS. In addition to sharing and mapping spatial data, web GIS is also required to provide spatial analytic functions on the web. The FOSS(free and open source software) can play an important role in developing such a system for web GIS. In this paper, we proposed a web-based system for raster data analysis using map algebra. We employed GRASS as an open source software and implemented the GRASS functionalities on the web using java methods for invocation of server-side commands. Map algebra and AHP were combined for the raster data analysis in our system. For a feasibility test, the landslide susceptibility in South Korea was calculated using rainfall, elevation, slope angle, slope aspect, and soil layers. It is anticipated that our system will be extensible to other web GIS for raster data analysis with GRASS.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.231-236
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• 2016

Currently, a traffic monitoring service using a surveillance camera is provided through internet. In general, if the user points a certain location on a map, then this service shows the real-time image of the camera where it is mounted. In this paper, we proposed the intuitive surveillance monitoring system which displays a real-time camera image on the map by warping with bird's-eye view and with the top of image as the north. In order to robustly estimate the road plane using camera image, we used the motion vectors which can be detected to changes in brightness. We applied a re-adjustment process to have the same directivity with a map and presented a user-friendly interface that can be displayed on the map. In the experiment, the proposed method was presented as the result of warping image that the user can easily perceive like a map.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.73-82
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• 2003

This paper proposes a work procedure for generalizing large-scale digital maps ver. 2.0(1/5,000) into a small-scale digital map(1/25,000). Unlike a existent digital map, the digital map ver. 2.0 has a variety of attribute data as well as graphic data. To perform an efficient map generalization with these structural properties, we establish a work procedure as follow; firstly, delete layers which don't exist in small-scale digital map's feature code, and secondly, generalize features which have been classified into 8 layers, and finally merge 8 layers which have been generalized into 1 layer. Therefore, we expect that a work procedure which is proposed in this paper will play a fundamental role in automated generalization system and will contribute to small-scale digital mapping and thematic mapping.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.954-964
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• 2020

In immersive media, the most important factor that provides immersion is depth information. Therefore, it is essential to obtain high quality depth information in order to produce high quality immersive media. In this paper we propose an algorithm to improve depth map, considering the segmentation of images and the relationship between multiple views in multi-view systems. The proposed algorithm uses a super-pixel segmentation technique to divide the depth map of the reference view into several segments, and project each segment into adjacent view. Subsequently, the depth map of the adjacent view is improved using plane estimation using the information of the projected segment, and then reversed to the reference view. This process is repeated for several adjacent views to improve the reference depth map by updating the values of the improved adjacent views and the initial depth map of the reference view. Through simulation, the proposed algorithm is shown to surpass the conventional algorithm subjectively and objectively.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.10a
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• pp.142-143
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• 2010

• Computational Structural Engineering
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• v.4 no.2
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• pp.32-35
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• 1991

컴퓨터가 발명된 초기에는 대부분 수식계산 처리만이 목적이었으나, 현재는 계산처리의 용도는 물론이고, M.I.S.(Management Information System), 자료의 생성.보관.처리.관리, Computer Graphics에 널리 이용되고 있으며 A.T.(Artificial Interligence), N.N.(Neural Network)까지 활용, 발전되어가고 있는 추세이다. 본 글에서는 현재 국내에서 부상하고 있는 G.I.S.(Geographic Information System)의 소개와 G.I.S.에서 필요로 하는 기존지도의 수치화(Digital Mapping)의 방법과정을 설명하고자 한다.