• Title/Summary/Keyword: 항공 정사영상

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Utilization of UAV Photogrammetry for Actual Condition Survey of Government Owned Lands (국·공유지 실태조사를 위한 UAV 사진측량의 활용성 검토)

  • LEE, Si-Wook;LEE, Jin-Duk
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.1
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    • pp.80-91
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    • 2021
  • The purpose of this study is to present the applicability to the effective survey into the actual condition of lands such as analysis of occupied location of government owned lands based on orthoimages created from aerial photographs taken by UAV. The boundary point coordinates and areas of the parcels were observed respectively by VRS-GNSS surveying and orthoimages for each land use of two categories of land, i.e. building site and farmland. As a result of comparing boundary point coordinates and areas extracted from UAV orthoimages with VRS-GNSS surveying data which were used as reference data, the RMS error of the coordinates for the boundary points was ±0.074m for both X and Y in the building site, and ±0.150m and ±0.127m for the X and Y respectively in the farmland. The positional error of the boundary point was 1.7~ 2 times higher in the farmland than in the building site where the boundary points were relatively clear. The RMS error of ±8.964㎡ of areas in the farmland was 4.7 times higher than that of ±1.898㎡ of areas in the building site. The area errors of all 22 parcels measured from the orthoimage were found to be within the allowed error range, indicating that it is feasible to apply the orthoimage generated by UAV to survey of government owned lands in terms of accuracy.

Orthophoto and DEM Generation Using Low Specification UAV Images from Different Altitudes (고도가 다른 저사양 UAV 영상을 이용한 정사영상 및 DEM 제작)

  • Lee, Ki Rim;Lee, Won Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.5
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    • pp.535-544
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    • 2016
  • Even though existing methods for orthophoto production using expensive aircraft are effective in large areas, they are drawbacks when dealing with renew quickly according to geographic features. But, as UAV(Unmanned Aerial Vehicle) technology has advanced rapidly, and also by loading sensors such as GPS and IMU, they are evaluates that these UAV and sensor technology can substitute expensive traditional aerial photogrammetry. Orthophoto production by using UAV has advantages that spatial information of small area can be updated quickly. But in the case of existing researches, images of same altitude are used in orthophoto generation, they are drawbacks about repetition of data and renewal of data. In this study, we targeted about small slope area, and by using low-end UAV, generated orthophoto and DEM(Digital Elevation Model) through different altitudinal images. The RMSE of the check points is σh = 0.023m on a horizontal plane and σv = 0.049m on a vertical plane. This maximum value and mean RMSE are in accordance with the working rule agreement for the aerial photogrammetry of the National Geographic Information Institute(NGII) on a 1/500 scale digital map. This paper suggests that generate orthophoto of high accuracy using a different altitude images. Reducing the repetition of data through images of different altitude and provide the informations about the spatial information quickly.

The Direction of Supporting U-City I/O System Using a Satellite Image (위성영상의 U-City 입출력시스템 지원 방향)

  • Kim, jong-hwa;Kim, sun-woong;Kim, sin;Jung, tae-woong;Pyeon, mu-wook
    • Proceedings of the Korea Contents Association Conference
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    • 2010.05a
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    • pp.269-271
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    • 2010
  • 공간정보 서비스는 U-City 거주자들의 편의와 안전을 위해 없어서는 안 될 중요한 요소이다. U-City에 필요한 공간정보로는 수치지도와 정사영상 그리고 각종 시설도와 단지배치도 등이 되며, 신도시의 경우에는 각종 측량장비, GPS, 항공/지상 LiDAR, RFID, 항공/위성영상 등이 활용되고 있다. 특히, 위성영상은 획득 범위의 제한이 없고, 단시간에 넓은 지역을 촬영함으로써 광범위한 지형자료를 획득할 수 있는 장점이 있다. 또 최근 들어 공간해상도의 비약적인 발전으로 위성영상 기반의 공간정보 추출 연구가 활발히 진행 중이다. 본 논문에서는 위성영상 기반의 U-City 내 각종 시스템의 도시기능 및 분석 기능에 지원할 수 있는 역할을 나열하고 이를 위한 처리 방법의 특이성 및 효과를 분석한다.

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Quality Evaluation of Orthoimage and DSM Based on Fixed-Wing UAV Corresponding to Overlap and GCPs (중복도와 지상기준점에 따른 고정익 UAV 기반 정사영상 및 DSM의 품질 평가)

  • Yoo, Yong Ho;Choi, Jae Wan;Choi, Seok Keun;Jung, Sung Heuk
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.3
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    • pp.3-9
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    • 2016
  • UAV(unmanned aerial vehicle) can quickly produce orthoimage with high-spatial resolution and DSM(digital surface model) at low cost. However, vertical and horizontal positioning accuracy of orthoimage and DSM, which are obtained by UAV, are influenced by image processing techniques, quality of aerial photo, the number and position of GCPs(ground control points) and overlap in flight plan. In this study, effects of overlap and the number of GCPs are analyzed in orthoimage and DSM. Positioning accuracy are estimated based on RMSE(root mean square error) by using dataset of nine pairs. In the experiments, Overlaps and the number of GCPs have influence on horizontal and vertical accuracy of orthoimage and DSM.

Accuracy Analysis of UAV Data Processing Using DPW (DPW를 이용한 UAV 자료 처리의 정확도 분석)

  • Choi, Yun Woong;You, Ji Ho;Cho, Gi Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.4
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    • pp.3-10
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    • 2015
  • The various studies and applications for UAVS(Unmaned Aerial Vehicle System) have been recently increased as a new technology to create 3D spatial information rapidly and accurately. UAV(Unmanned Aerial Vehicle) is economical when comparing with conventional technique, such as satellite and aerial survey, and can quickly obtain high resolution data under 5cm. This paper examined the utilizing possibility to creating 3D spatial information and analysis the compatibility the UAV data obtained by non-metric digital camera with conventional numerical photogrammetric system. The DEM and normal orthophoto is created by exclusive S/W and DPW(Digital Photogrammetry Workstation) then analysis the accuracy of created data. As a result, the accuracy of the created DEM and normal orthophoto, which is obtained by UAV then processed by DPW, is not satisfied;so it is estimated that the compatibility the UAV data with conventional numerical photogrammetric system is low.

항공사진을 이용한 효과적인 해안선변형 해석방법의 연구

  • 김학준;전호원;김감래
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2002.10a
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    • pp.103-106
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    • 2002
  • 본 연구에서는 항공사진에 의한 해안선변형을 해석함에 있어서 수치정사영상 방법과 affine 변환을 이용하여 해안선변형을 분석하고, 두 가지 방법에 대한 정확도를 평가함으로써 항공사진을 이용한 해안선변형 해석의 보다 효율적인 방법을 제안하고자 하였다. 검토결과 정확도 평가 분석에서 알 수 있듯이 수치정사영상의 경우 RMS 오차가 3∼5m 정도로 나타났으며, affine 변환의 경우는 RMS 오차가 5∼8m정도인 것을 확인할 수 있었다. 정확도 평가에서 나타난 RMS 오차는 비록 수치정사영상을 이용한 해석방법보다는 정확도 면에서 약간의 차이가 발생하나 이때의 오차가 2∼3m 정도인 것으로 미루어 볼 때 affine 변환을 이용한 해석방법도 매우 정도가 높은 것이라 사료된다. 아울러, 수치정사영상의 경우 그 과정이 매우 복잡하고 어려운 점을 감안하면 affine 변환에 의한 해석방법이 항공사진을 이용한 해안선변형 해석을 수행함에 있어서 매우 효과적인 방법이라 사료된다.

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Application of the GPS & EDM System for 3D Orthophoto in Small Area (소규모지역에서 3차원 정사사진 구현을 위한 GPS와 EDM의 적용)

  • Choi Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.890-896
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    • 2006
  • It's very difficult to acquire the accurate GCP(Ground Control Point) in the urban center and forest aerial photo because of occurring of irregular multi-path error. The purpose of this study is to apply the CPS and the EDM system for 3D orthophoto in the small areas. GCPs surveyed by accuracy triangulation from EDM after from triangulation points to a fiducial point at study area used to GPS. And I have a comment on how to use areal orthophoto for future 3D-GIS after 3D-Modelling using areal orthophoto. As the results, EDM surveying could resolve multi-path error according to GPS surveying and It is possible for using aerial orthophoto on the basis of the 3D-GIS database.

Parcel Boundary Demarcation in Agricultural Area Using High Resolution Aerial Images and Aerial Targets (고해상도 항공영상과 항공타겟을 이용한 농경지 필지경계 설정에 관한 연구)

  • PARK, Chi-Young;LEE, Jae-One
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.1
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    • pp.80-93
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    • 2016
  • Parcel boundary demarcation in agricultural area is commonly performed by terrestrial surveying methods, which have been pointed out as drawbacks to require consuming too much time and heavy expenditure. With the developments of high performance digital aerial cameras, however, studies on cadastral boundary demarcation with an aerial photogrammetric method attract a great attention in recent years. In this paper, an approach is presented to rapidly demarcate parcel boundaries coinciding with real ground ones in agricultural areas by extracting boundaries from the high resolution aerial orthoimages based on aerial targets. In order to investigate the feasibility of the proposed method, the accuracy of coordinates and area of parcel boundaries extracted from the aerial targets appeared in orthoimages compared with that of terrestrial boundary surveying results over the selected two test agricultural areas. Aerial image data were processed taken by a ADS80 digital camera with a GSD of 8cm in Changwon region, and by a DMCII camera with a GSD of 5cm in Suwon respectively. The result shows that the accuracy of parcel demarcation using aerial images is within the tolerance limits of coordinates and areas compared with that of terrestrial surveying. The proposed method using aerial target-based high resolution aerial images is therefore expected to be usefully applied in the agricultural parcel demarcation.

Accuracy Evaluation of Floodplain Topography Survey Using Small-scale UAV (소형 UAV를 이용한 홍수터 지형측량 정확도 평가)

  • Kwak, Sunghyun;Seo, Yong Jae;Song, Jin Hun;Lyu, Siwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.449-453
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    • 2016
  • 하천 구역에 존재하는 인력 및 장비의 접근이 물리적으로 불가능한 공간에 대한 지형정보 취득의 한계를 극복하기 위한 대안으로 소형 UAV(Unmanned Aerial Vehicle)의 활용성을 살펴보고자, 낙동강 달성보와 강정고령보 사이에 위치하는 습지구간에 대한 영상촬영 및 분석을 통한 지형측량을 실시하였다. 홍수터 지형측량에 있어 소형 UAV를 이용한 사진측량의 신뢰성과 정확성을 평가하기 위하여, Network RTK를 이용한 육상측량결과와 정사영상 분석결과를 비교하여 '항공레이저측량 작업규정'의 '수치표고모델 규격 및 정확도'에 제시된 기준에 의거하여 수직위치 정확도를 검토하였다. 검토 결과 과대오차를 배제할 경우 지표면 상태에 따라 1/1,000~1/5,000의 정사영상 및 수치표고모델 제작이 가능함을 확인할 수 있었다.

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Detecting and Restoring the Occlusion Area for Generating the True Orthoimage Using IKONOS Image (IKONOS 정사영상제작을 위한 폐색 영역의 탐지와 복원)

  • Seo Min-Ho;Lee Byoung-Kil;Kim Yong-Il;Han Dong-Yeob
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.131-139
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    • 2006
  • IKONOS images have the perspective geometry in CCD sensor line like aerial images with central perspective geometry. So the occlusion by buildings, terrain or other objects exist in the image. It is difficult to detect the occlusion with RPCs(rational polynomial coefficients) for ortho-rectification of image. Therefore, in this study, we detected the occlusion areas in IKONOS images using the nominal collection elevation/azimuth angle and restored the hidden areas using another stereo images, from which the rue ortho image could be produced. The algorithm's validity was evaluated using the geometric accuracy of the generated ortho image.