• Title/Summary/Keyword: 기준지도

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Accuracy Analysis of Ortho Imagery with Different Topographic Characteristic (지역적 특성에 따른 정사영상의 정확도 분석)

  • Jo, Hyun-Wook;Park, Joon-Kyu
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.1
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    • pp.80-89
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    • 2008
  • Mapping applications using satellite imagery have been possible to quantitative analysis since SPOT satellite with stereo image was launched. Especially, high resolution satellite imagery was efficiently used in the field of digital mapping for the areas which are difficult to produce large-scale maps by aerial photogrammetry or carry out ground control point surveying due to unaccessibility. This study extracted the geospatial information out of consideration for topographic characteristic from ortho imagery of the National Geospatial-intelligence Agency(NGA) in the United States of America and analyzed the accuracy of plane coordinate for ortho imagery. For this purpose, the accuracy according to topographic character by comparison between both extraction data from ortho imagery and the digital topographic maps of 1:5000 scale which were produced by Korea National Geographic Information Institute(NGI) was evaluated. It is expected that the results of this study will be fully used as basic information for ground control point acquisition or digital mapping in unaccessible area.

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Performance Comparison of Recurrent Neural Networks and Conditional Random Fields in Biomedical Named Entity Recognition (의생명 분야의 개체명 인식에서 순환형 신경망과 조건적 임의 필드의 성능 비교)

  • Jo, Byeong-Cheol;Kim, Yu-Seop
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.321-323
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    • 2016
  • 최근 연구에서 기계학습 중 지도학습 방법으로 개체명 인식을 하고 있다. 그러나 지도 학습 방법은 데이터를 만드는 비용과 시간이 많이 필요로 한다. 본 연구에서는 주석 된 말뭉치를 사용하여 지도 학습 방법을 사용 한다. 의생명 개체명 인식은 Protein, RNA, DNA, Cell type, Cell line 등을 포함한 텍스트 처리에 중요한 기초 작업입니다. 그리고 의생명 지식 검색에서 가장 기본과 핵심 작업 중 하나이다. 본 연구에서는 순환형 신경망과 워드 임베딩을 자질로 사용한 조건적 임의 필드에 대한 성능을 비교한다. 조건적 임의 필드에 N_Gram만을 자질로 사용한 것을 기준점으로 설정 하였고, 기준점의 결과는 70.09% F1 Score이다. RNN의 jordan type은 60.75% F1 Score, elman type은 58.80% F1 Score의 성능을 보여준다. 조건적 임의 필드에 CCA, GLOVE, WORD2VEC을 사용 한 결과는 각각 72.73% F1 Score, 72.74% F1 Score, 72.82% F1 Score의 성능을 얻을 수 있다.

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Accuracy Analysis of Orthophoto from the Tophographic character (지형 특성을 고려한 정사영상의 정확도 분석)

  • Yoon Hee-Cheon;Jo Hyeon-Wook;Lee Cheol-Hee;Park Joon-Kyu
    • 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.

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Localization of an Autonomous Mobile Robot Using Ultrasonic Sensor Data (초음파센서를 이용한 자율 이동로봇의 위치추적)

  • 최창혁;송재복;김문상
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.666-669
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    • 2000
  • Localization is the process of aligning the robot's local coordinates with the global coordinates of a map. A mobile robot's location is basically computed by a dead reckoning scheme, but this position information becomes increasingly inaccurate during navigation due to odometry errors. In this paper, the method of building a map of a robot's environment using ultrasonic sensor data and the occupancy grid map scheme is briefly presented. Then, the search and matching algorithms to compensate for the odometry error by comparing the local map with the reference map are proposed and verified by experiments. It is shown that the compensated error is not accumulated and exists within the limited range.

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Application of CCD Image by Direct Georeferencing (Direct Georeferencing에 의한 CCD 영상의 적용기법)

  • Song Youn Kyung;Park Woon Yong;Park Hong Gi
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.1
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    • pp.77-88
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    • 2005
  • Direct Georeferencing (DG) is based on the direct measurement of the projection centers and rotation angle of sensor through loading the GPS and INS in aircraft. The methods can offer us to acquire the exterior orientation parameters with only minimum GCPs, even the ground control process could be completely skipped. In this study, a CCD camera is simultaneously used in GPS/INS, and acquired CCD image through Direct Georeferencing produce digital orthoimage. In this process, methods of combining sensor and digital orthoimage are examined and estimated. For the comparison of the positioning accuracy digital orthoimage through Direct Georeferencing, GCPs determined by GPS surveying are used. Two digital orthoimage are produced; one with a few GCP and the other without them. The produced maps can be used to correct or revised 1:1,000 or 1:5,000 scale maps accordingly.

A Study on the Frequency of Errors for National Digital Basemap (국가기본도 수치지도 오류발생빈도의 분석연구)

  • Yeu, Bock-Mo;Shin, Dong-Bin
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.13-27
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    • 1997
  • For the National Geo-Spatial Information System the development of the National Digital Basemap database is actively underway in Korea. For the National Digital Basemap database to be truly useful for various applications development it is essential to maintain its reliability. To maintain the reliability of the database it is necessary to understand the nature and the frequency of the errors in it. In general, a data inspection under the standardized quality control process is required to maintain the quality of a large database. In addition, it is important to maintain complete and detailed records of the inspection results so as to understand the relationship between the m and other factors causing errors. These records can be used as a reference for map updates and future application development. The goal of this study is to count the frequency of errors based on the typology of errors found in the digitized map inspection process and to analyze the correlation between errors and topographic composite quotient This study also provides guidelines for the inspection process regarding the error-prone cartographic elements in the digital map generation process.

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The Improvement Method of Position Accuracy of Digital-Map in Small Area (소규모 지역에서 수치지도의 위치정확도 향상 방안에 관한 연구)

  • 이근상;장영률
    • Spatial Information Research
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    • v.9 no.2
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    • pp.263-275
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    • 2001
  • With increasing of utilization of 1/1,000 Digital-Map being constructed with NGIS project, it is entering upon the stage that problem as the inspection of position accuracy of Digital-Map before its use. This paper evaluated position accuracy of Digital-Map being based on the construction of college facility management system into small area and presented modification/renovation of Digital-Map on area being occurred position error. With a view to evaluation of position error to building using RTK survey, position error was shown more than 0.5mm that is prescribed in survey-law. In order to acquire good position accuracy, first we carried out Static survey to college and selected control point. And, we evaluated coordinate value to important building from control point and compared these results with RTK survey results. Second, we carried out Affine transform based on the control point of building being surveyed with RTK, transformed pre-constructed Digital-Map and compared these results with RTK Survey results. We analyzed first and second method and presented improvement method of position accuracy of Digital-Map suited on small area.

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Estimating the Application Possibility of High-resolution Satellite Image for Update and Revision of Digital Map (수치지도의 수정 및 갱신을 위한 고해상도 위성영상의 적용 가능성 평가)

  • 강준묵;이철희;이형석
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.3
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    • pp.313-321
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    • 2002
  • Supplying high-resolution satellite image, we take much interest in the update and the revision of digital map and thematic map based on the satellite image. This study presented the possibility of the update and the revision to the existing digital map on a scale of l/5,000 and 1/25,000 to take advantage of the IKONOS satellite image. We performed geometric correction to make use of the ground control points of the existing digital map in IKONOS mono-image and created ortho-image by extracting digital elevation model from three dimensional contour data and altitude on the existing digital map. We revised changed features in the method of screen digitizing by overlapping orthorectified satellite image and existing digital map and flawed features of the unchanged area on the satellite images for positional accuracy analysis. As a result, rectification error is calculated at $\pm$3.35m by RMSE. There is a good possibility of update of digital map under the scale of 1/10,000. It is possible to the update of the large scale digital map over the scale of l/5,000, as if we used the method of stereo image and ground control point surveying.

A Study on Determining the Grade of Digital Map from the User's Viewpoint (사용자 측면을 고려한 수치지도의 등급분류에 관한 연구)

  • Jeong, Jae-Joon;Park, Min-Ho;Kim, Yong-Il;Eo, Yang-Dam
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.65-75
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    • 1997
  • Nowadays, digital map plays a role as a container of spatial database.'there have been many researches concerning the improvements of the digital map accuracy. From the user's viewpoint, however, the quality level of digital nap is as important as its accuracy, because fitness-for-use is considered the most important factor to the users. This study aims to find the methodology for determining the grade nか digital map. To accomplish this, we propose two major stages. First, weight factors of the layers are given according to the importance of the functions which must be considered in digital map generation. Scond, weight factors of the components to evaluate the accuracy of the digital map are presented By scoring the components and by summing the scores, the method for determining fitness-for-use is developed.

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Self-supervised Learning Method using Heterogeneous Mass Corpus for Sentence Embedding Model (이종의 말뭉치를 활용한 자기 지도 문장 임베딩 학습 방법)

  • Kim, Sung-Ju;Suh, Soo-Bin;Park, Jin-Seong;Park, Sung-Hyun;Jeon, Dong-Hyeon;Kim, Seon-Hoon;Kim, Kyung-Duk;Kang, In-Ho
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.32-36
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    • 2020
  • 문장의 의미를 잘 임베딩하는 문장 인코더를 만들기 위해 비지도 학습과 지도 학습 기반의 여러 방법이 연구되고 있다. 지도 학습 방식은 충분한 양의 정답을 구축하는데 어려움이 있다는 한계가 있다. 반면 지금까지의 비지도 학습은 단일 형식의 말뭉치에 한정해서 입력된 현재 문장의 다음 문장을 생성 또는 예측하는 형식으로 문제를 정의하였다. 본 논문에서는 위키피디아, 뉴스, 지식 백과 등 문서 형태의 말뭉치에 더해 지식인이나 검색 클릭 로그와 같은 구성이 다양한 이종의 대량 말뭉치를 활용하는 자기 지도 학습 방법을 제안한다. 각 형태의 말뭉치에 적합한 자기 지도 학습 문제를 설계하고 학습한 경우 KorSTS 데이셋의 비지도 모델 성능 평가에서 기준 모델 대비 7점 가량의 성능 향상이 있었다.

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