• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.122-126
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• 2006

입체영상 획득이 가능한 SPOT 위성이 발사되면서 위성영상을 이용한 지도제작 둥의 정량적인 분석이 가능해졌다. 특히, 고해상도 위성영상은 항공사진촬영이 불가능하여 대축척 지도제작이 곤란한 지역 또는 지상기준점 측량이 불가능한 지역에 대한 수치지도 제작 분야에 있어 효율적인 방법으로 주목을 받고 있다. 이에 본 연구에서는 기 접근 가능지역에 대한 정사영상을 이용하여 기 구축된 성과들의 정확도를 평가하였고 이를 바탕으로 비접근지역의 지형정보 획득을 위한 정사영상의 활용 가능성을 제시하고자 하였으며 비접근 및 난접근 지역에서의 지상기준점 획득에 대한 제한을 극복하는 수단으로 본 연구의 결과를 활용하고자 하였다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2000.10a
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• pp.16-24
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• 2000

Automation of the mapping process is a major concern in the geomatics discipline as the role of geospatial information is becoming more important in the information society. Automation has been successful in some tasks of the mapping process, whereas it is faced with difficulties in other more complex tasks. Some of the automation technologies which have been applied to the production of maps are reviewed in later paragraphs.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2011.05a
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• pp.198-199
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• 2011

본 연구에서는 99.99% Mg을 증착금속으로 하여 DC 스퍼터링법으로 Al, Zn 중간층의 삽입유무에 따라 Mg막을 제작하였다. 또한 제작과정 중 진공도의 조건에 따라 변화하는 기판상의 증착 Mg 입자와 잔존 Ar 가스의 상대적인 함량비가 막의 결정구조학적 결정배향성과 표면 몰포로지의 형성에 영향을 주는 관계를 열에너지에 의한 표면확산 이동도 관점 뿐만 아니라 흡착 인히비션 및 흡장 효과도 분석-검토하였다. 그리고 Mg막의 물성관계의 해석은 Zn, Al등의 중간층 유무에 따라 구분 해석함으로써 이들의 몰포로지와 결정배향성의 차이가 내식성에 미치는 영향에 대해서 비교 및 평가하였다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.05a
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• pp.194-194
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• 2015

본 연구에서는 PVD법 중의 하나인 스퍼터링(sputtering) 기술을 이용하여 향상된 희생양극(sacrificial anode)적 특성을 가지는 Al-Mg 막을 제작함은 물론 그 제작조건, 표면의 몰포로지, 결정구조학적 결정배향성과의 연관성을 해석 및 전기화학적 내식특성평가 등을 통하여 종합적인 결과를 고찰-정리해 보았다. 이를 통해 박막의 증착과정 중 가스압의 변화가 흡착 인히비터로 작용하여 박막의 몰포로지와 결정배향성에 미치는 영향을 분석하였으며 이러한 표면 몰포로지, 결정배향성과 내식성간 상관관계를 해석하여 최적의 Al-Mg 막 설계 지침을 제시하고자 하였다.

• 대한공업교육학회지
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• v.43 no.1
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• pp.158-176
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• 2018

The purpose of this study is to analyze the satisfaction of the manufacturing process and the satisfaction of manufacturing lesson in the lesson of model product manufacturing based on IoT(Internet of Things) for pre-service technology teachers. and we also analyzed 'smart farm' model production manufacturing among various products. The survey questionnaires with 8 questions to investigate satisfaction level of model manufacturing process, difficulties in manufacturing, and the satisfaction level of manufacturing lesson were collected from the 15 pre-service technology teachers and analyzed by using SPSS program. and The results of this study were as follows: First, the lesson satisfaction average level of pre-service technology teachers was high(M=4.22) in model product manufacturing process for the 'smart farm' model making based on the IoT. Second, the average satisfaction level of 'patent search and prior art search report writing education' was as high as 4.07. Therefore, the application of 'prior art search report writing education' showed that it helped to make the product. Third, the best high satisfaction level in the model production manufacturing procedure was 'education of inventive thinking method'(M=4.40). Therefore, the pre-service technology teachers showed that the 'education of inventive thinking methods' was very helpful from the idea design to the optimal selection of idea. The next order of satisfaction level was high(M=4.33) in 'design education and counseling' and 'guidance through selection of professor who guide the production manufacturing in addition to professors who are in charge of lesson'. Because they were helpful in solving the lack of knowledge of pre-service technology teachers. Fourth, satisfaction level with 'the presentation of model making results and exhibitions', 'presentations and participations of external event' was high (M = 4.13). Although the results of interviews with pre-service technology teachers showed that they suffered from lack of knowledge in various technologies, but it was an opportunity to learn things and felt a sense of accomplishment.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.5
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• pp.535-546
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• 2020

Land cover maps are derived from satellite and aerial images by the Ministry of Environment for the entire Korea since 1998. Even with their wide application in many sectors, their usage in research community is limited. The main reason for this is the map compilation cycle varies too much over the different regions. The situation requires us a new and quicker methodology for generating land cover maps. This study was conducted to automatically generate land cover map using aerial ortho-images and Landsat 8 satellite images. The input aerial and Landsat 8 image data were trained by Residual U-Net, one of the deep learning-based segmentation techniques. Study was carried out by dividing three groups. First and second group include part of level-II (medium) categories and third uses group level-III (large) classification category defined in land cover map. In the first group, the results using all 7 classes showed 86.6 % of classification accuracy The other two groups, which include level-II class, showed 71 % of classification accuracy. Based on the results of the study, the deep learning-based research for generating automatic level-III classification was presented.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.3
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• pp.229-235
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• 2011

Traffic noise pollution is a growing problem that highly affects the health of people in urban areas. In order to implement effective measures against traffic noise the noise mapping about its distribution is imperative. Urban traffic noise maps will help to establish the existing baseline so that we will be able to look for the effective way to control the noise. They will also let us see in an understandable and visual way how noise spreads from roads into residential areas. In this paper we considered three development types between roads and residential areas, and applied the interpolation of ArcGIS for noise attenuation with distance from the roads to find the noise level at the parcels positions in residential areas, and then generated the noise map using the interpolated results. Therefore we present results that the traffic noise level within residential areas exceed the national noise standard and also can estimate the noise level of individual parcels. These results can be used for traffic noise control planning or assessment of officially assessed land price in near future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.1
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• pp.117-129
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• 1997

In recent years, the 1 : 5,000 scale Digital National Basemap(DNB) has been generated under National Geo-graphic Information System(NGIS) Project. The DNB database generated will be the backdrop data for thematic maps, underground facilities maps and so on. The DNB database will be distributed to the government and private sectors in near future so that it should meet the requirements as the basic data. In order to assure the quality of DNB database, the establishment of quality assurance process to database was in great need. In this study, we were mainly concerned with improving the quality of digital national basemap database in geomatric aspect as well as the processing time due to the amount of digital data generated. As a results of this study, the quality assuance process of DNB database is established and automatic quality assurance program is developed. Also, the program developed in this study is contributed to quality assurance of DNB database as well as economic aspects.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.137-144
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• 2009

This study aims to develop a 3D map which allows users to better understand the overall topography and to memorize the general concepts of the current location for tourists. The Map also utilizes different forms and color codes of the block units in the panoramic view. First, in preparation for making the road block unit, 28 types of roads presented in common map were defined. Based on the definitions, 12 dominant groups were formed. In designing each form, visual correlation was considered. Second, 42 types of terrain features presented in normal maps were defined for making the panoramic block unit. Then, 2 dominant groups, each contains 5 subgroups, were made according to the assemble pattern and the size of area. On the basis of the grouped units, the panoramic block units were produced with 3D pole line graphics maintaining integration. Lastly, each panoramic block units were categorized by color classes such as blue, green, gray and brown class. The overall color combination of the work was evaluated as well harmonized since the Moon&Spencer's Aesthetic measure value exceeds 0.5.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.83-96
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• 1993

The orthophto map is seen as the form of picture with the uniform reduced scale as the current terrain map. Thus it provides a reasonable feeling of scene and is easy to be interpreted. Furthermore, digital orthophoto is currently used as the basic terrain information data of the Geo-Spatial Information System(GSIS). Therefore, the orhtophoto map has high potential use as a future terrain map. This paper studies the method of producing orthophoto map by using the digital satellite imagery data taken from SPOT satellite of France. The production of orthophoto map requires the process of generating orthophoto imagery with digital elevation model, which process is called digital differential rectification. As the final accuracy of orthophoto map depends on that of digital elevation model, the precise and efficient production method of digital elevation model should be preceded. This study investigated the method of producing digital elevation model directly from SPOT satellite imagery and generated ortho-image by resampling the original SPOT imagery through digital differential rectification. Finally, Simple orthophoto map was made by overlaying the ortho-image and the contour map from digital elevation model.