• Title/Summary/Keyword: 외부표정요소 결정

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Development of GPS/IMU/SPR Integrated Algorithm and Performance Analysis for Determination of Precise Car Positioning (정밀 차량 위치결정을 위한 GPS/IMU/SPR 통합 알고리즘 개발 및 성능 분석)

  • Han, Joong-Hee;Kang, Beom Yeon;Kwon, Jay Hyoun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.2
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    • pp.163-171
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    • 2014
  • Based on the GPS/IMU integration, the car navigation has unstable conditions as well as drastically reduces accuracies in urban region. Nowadays, many cars mounted the camera to record driving states. If the ground coordinates of street furniture are known, the position and attitude of camera can be determined through SPR(Single Photo Resection). Therefore, an estimated position and attitude from SPR can be applied measurements in Kalman filter for updating errors of navigation solutions from GPS/IMU integration. In this study, the GPS/IMU/SPR integration algorithm was developed in loosely coupled modes through extended Kalman filters. Also, in order to analyze performances of GPS/IMU/SPR, simulation tests were conducted in GPS signal reception environments and the GCPs (Ground Control Points) distributions. In fact, the position and attitude gathered from GPS/IMU/SPR integration are more precise than the position and attitude from GPS/IMU integration. When IPs (image points), corresponded to GCPs, were concentrated in the center of image, the position error in the optical axis respectively increased. To understand effects from SPR, we plan to carry additional test on the magnitude of GCP, IP and initial exterior orientation errors.

수중 무인항체를 위한 Vision/INS 통합 항법

  • Park, Seul-Gi;Jo, Deuk-Jae;Park, Sang-Hyeon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.10a
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    • pp.1-3
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    • 2010
  • 수중 무인항체(Autonomous Underwater Vehicle, AUV)를 고정밀, 고위험 임무수행 분야에 이용하기 위해서는 연속적이고 정확한 항법정보를 제공하는 기술이 반드시 필요하다. 특히, 최근에는 항공분야에서 국내외적으로 연속적이고 정확한 항법정보를 제공하기 위하여 여러 가지 센서를 결합한 통합 항법시스템에 관한 연구가 활발하며, GPS나 음향장치를 관성센서와 통합하는 방법이 대표적이다. 하지만 수중 무인항체에 경우는 해수면 노출로 인한 탐사시간 장기화와 음향장치 설치 및 회수의 한계로 인하여 GPS나 음향장치 이외에 센서를 이용한 통합 항법시스템의 필요성이 커지고 있다. 본 논문에서는 자율성이 높으면서, 적은 비용으로 설치가 가능한 영상센서를 이용하여 항법성능을 효과적으로 증대시키는 Vision/INS 통합 항법을 제안한다. 제안한 통합 항법알고리즘은 외부표정요소 직접결정기법을 이용하여 영상 데이터로부터 항체의 위치와 자세를 추정하고, 추정된 결과를 INS의 추정치와 비교한다. 그리고 추정한 위치와 자세오차를 입력으로 칼만필터를 구동하도록 설계하였다. 모의실험을 통해 제안한 방법의 유효성을 확인하였다.

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A Study on the Analysis of Accuracy of SPOT Photos According to the Preprocessing Level (전처리 수준에 따른 SPOT 위성사진의 정확도 분석에 관한 연구)

  • 유복모;이현직
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.9 no.1
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    • pp.83-96
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    • 1991
  • The use of SPOT Imagery is a growing trend in the field of small and middle scale mapping, as well as in establishing topographic database. This study is about 3-D positioning using the SPOT Imagery, where the accuracy and the gemetric characteristics of SPOT photos are analysed according to the preprocessing level (level 1AP,1B). As a result of this study the following could be determined, i. e 1) the geometric characteristics of SPOT Imagery according to the preprocessing level, 2) the optimal polynomial type for exterior orientations of each preprocessing level, and 3) the type of significant additional parameters. It was found that both the geometric precision and accuracy of level 1AP is higher than those of level 1B, which implies that level 1AP is more suitable for precise 3-D positioning and map production.

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Rectification of Smartphone Image Based on Reference Images for Facility Monitoring (시설물 모니터링을 위한 기준영상 기반 스마트폰 영상의 기하보정)

  • Kim, Hwiyoung;Choi, Kyoungah;Lee, Impyeong;Yoon, Hyuk-Jin
    • Korean Journal of Remote Sensing
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    • v.33 no.2
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    • pp.231-242
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    • 2017
  • Monitoring of facilities such as roads, dams and bridges is important for their long-term sustainable usage. It has usually suffered with safety and cost problems, which makes more frequent monitoring difficult. As an efficient and economicalsolution to these problems, one may consider the use of smartphone to capture the status of the facilities. To derive quantitative analysis results with the smartphone images for facility monitoring, one should first rectify the images in a way as automatic and economical as possible. In thisstudy, we propose such a rectification method, which rectifiessmartphone images acquired from arbitrary locations based on reference images.In the proposed method, we determine the camera extrinsic parameters of each smartphone images using the reference imagesrather than ground control points, and project the image to the target surface of the facility based on the determined camera parameters. The method were applied to test data acquired from a small dam toward water-area facility monitoring. The experimental results showed that the camera extrinsic parameters were determined with the accuracy of 5 cm and $0.28^{\circ}$ in the position and attitude. The accuracy of the distance measured from the rectified image was evaluated to 10 cm. With the rectified images, one can accurately determine the location and length of the target objects required for facility monitoring.

Bundle Block Adjustment of Omni-directional Images by a Mobile Mapping System (모바일매핑시스템으로 취득된 전방위 영상의 광속조정법)

  • Oh, Tae-Wan;Lee, Im-Pyeong
    • Korean Journal of Remote Sensing
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    • v.26 no.5
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    • pp.593-603
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    • 2010
  • Most spatial data acquisition systems employing a set of frame cameras may have suffered from their small fields of view and poor base-distance ratio. These limitations can be significantly reduced by employing an omni-directional camera that is capable of acquiring images in every direction. Bundle Block Adjustment (BBA) is one of the existing georeferencing methods to determine the exterior orientation parameters of two or more images. In this study, by extending the concept of the traditional BBA method, we attempt to develop a mathematical model of BBA for omni-directional images. The proposed mathematical model includes three main parts; observation equations based on the collinearity equations newly derived for omni-directional images, stochastic constraints imposed from GPS/INS data and GCPs. We also report the experimental results from the application of our proposed BBA to the real data obtained mainly in urban areas. With the different combinations of the constraints, we applied four different types of mathematical models. With the type where only GCPs are used as the constraints, the proposed BBA can provide the most accurate results, ${\pm}5cm$ of RMSE in the estimated ground point coordinates. In future, we plan to perform more sophisticated lens calibration for the omni-directional camera to improve the georeferencing accuracy of omni-directional images. These georeferenced omni-directional images can be effectively utilized for city modelling, particularly autonomous texture mapping for realistic street view.

Accuracy Assessment on the Stereoscope based Digital Mapping Using Unmanned Aircraft Vehicle Image (무인항공기 영상을 이용한 입체시기반 수치도화 정확도 평가)

  • Yun, Kong-Hyun;Kim, Deok-In;Song, Yeong Sun
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.1
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    • pp.111-121
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    • 2018
  • RIn this research, digital elevation models, true-ortho image and 3-dimensional digital complied data was generated and evaluated using unmanned aircraft vehicle stereoscopic images by applying photogrammetric principles. In order to implement stereoscopic vision, digital Photogrammetric Workstation should be used necessarily. For conducting this, in this study GEOMAPPER 1.0 is used. That was developed by the Ministry of Trade, Industry and Energy. To realize stereoscopic vision using two overlapping images of the unmanned aerial vehicle, the interior and exterior orientation parameters should be calculated. Especially lens distortion of non-metric camera must be accurately compensated for stereoscope. In this work. photogrammetric orientation process was conducted using commercial Software, PhotoScan 1.4. Fixed wing KRobotics KD-2 was used for the acquisition of UAV images. True-ortho photo was generated and digital topographic map was partially produced. Finally, we presented error analysis on the generated digital complied map. As the results, it is confirmed that the production of digital terrain map with a scale 1:2,500~1:3,000 is available using stereoscope method.

Study on the Building of Digital Terrain Model Using Satellite Remotely Sensed Data and Its Applications (위성 원격탐사 데이타를 이용한 지형표고모델 산출 알고리즘 구축 및 응용)

  • 최윤수
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.13 no.2
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    • pp.141-151
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    • 1995
  • In generating DTM as basic data to GIS, the use of existing map is difficult to aquire current data and the method using airphotos needs cost for stereoplotting and ground control surveying. So, the method of DTM generation by satellite imagery is promising because satellite is able to observe wide area at once. In this study the program for SPOT bundle adjustment and image matching based on Coarse to Fine method is developed and various image enhancement algorithm is used for more accurate DTM generation and also evaluation of accuracy was carried out. Further more, orthophoto, a bird's eye-view, contour map producing, net-work analysis and terrain analysis were performed for GIS applications using generated DTM in this study. Generated DTM using SPOT stereo imagery is useful for GIS applications such as automated mapping, facility management, national geographic information system. Moreover developed automatic DTM generation pro-gram is studied, tested and verified more to be applicable to all the area.

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A Study On the Accuracy Analysis of 3-Dimensional Position using Digital Image (수치 영상을 활용한 3차원 위치 정확도 해석)

  • Yeu, Bock-Mo;Sohn, Duk-Jae;Yom, Jae-Hong;Baek, Sang-Ho
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.2 s.6
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    • pp.159-172
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    • 1995
  • This study aims to apply digital photogrammetric methods on the close range photogrammetry. To get a three dimensional position with digital photogrammetric method, scanning, image matching, and bundle adjustment are performed. Comparing the three dimensional position computed by digital photogrammetric methods with ground survey values, the errors can be detected. Analyzing the errors, it is possible to present a new digital photogrammetric method for the close range photogrammetry. Image matching method used in this study is area-based pixel unit and subpixel unit method. As a result of the study, three dimensional position error is 3.32mm and the error in the single coordinate axis direction is 0.76mm in pixel unit and in subpixel unit, respective error is 3.98mm and 0.73mm.

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The Accuracy of Stereo Digital Camera Photogrammetry (스테레오 디지털 카메라를 이용한 사진측량의 정확도)

  • Kim, Gi-Hong;Youn, Jun-Hee;Park, Ha-Jin
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.6
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    • pp.663-668
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    • 2010
  • In this study a stereo digital camera system was developed. Using this system, we can collect informations such as coordinates, lengths of all objects shown in the photo image just by taking digital photograph in field. This system has the advantage of obtaining stereo images with settled exterior orientation parameters, while the accuracy slightly worsen because in a close range photogrammetry with stereo digital camera system, the base line distance is restricted within about 1m. We took images with various exposure distances and angles to objects for experimental error assessment, and analyzed the affection of image coordinates errors.

A Study on the Generation of Digital Elevation Model from IRS-1C Satellite Image Data (IRS-1C 위성데이타를 이용한 수치표고모델 생성에 관한 연구)

  • 안기원;이효성;서두천;신석효
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.17 no.3
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    • pp.293-300
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    • 1999
  • The study aims to develope techniques for generating digital elevation model(DEM) from IRS-1C PAN stereo image data. The bundle adjustment technique was used to determine the satellite exterior orientation parameters as a function of along-track lines. The first degree of polynomial was selected as a function of satellite attitude and position for each scan line. To evaluate the DEM and orthoimage generated, the resulted three dimensional coordinates of the 16 elevation points were computed with the map coordinates. The elevation test showed that root mean square errors of the DEM elevation was about $\pm{16.66m}$ meters.

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