• 제목/요약/키워드: Aerial image

검색결과 793건 처리시간 0.032초

A Study on Aerial Triangulation from Multi-Sensor Imagery

  • Lee, Young-Ran;Habib, Ayman;Kim, Kyung-Ok
    • 대한원격탐사학회지
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    • 제19권3호
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    • pp.255-261
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    • 2003
  • Recently, the enormous increase in the volume of remotely sensed data is being acquired by an ever-growing number of earth observation satellites. The combining of diversely sourced imagery together is an important requirement in many applications such as data fusion, city modeling and object recognition. Aerial triangulation is a procedure to reconstruct object space from imagery. However, since the different kinds of imagery have their own sensor model, characteristics, and resolution, the previous approach in aerial triangulation (or georeferencing) is purformed on a sensor model separately. This study evaluated the advantages of aerial triangulation of large number of images from multi-sensors simultaneously. The incorporated multi-sensors are frame, push broom, and whisky broom cameras. The limits and problems of push-broom or whisky broom sensor models can be compensated by combined triangulation with other sensors The reconstructed object space from multi-sensor triangulation is more accurate than that from a single model. Experiments conducted in this study show the more accurately reconstructed object space from multi-sensor triangulation.

지적재조사에서 UAS 영상 기반 지적 경계확정 시범 연구 (Demonstration of UAS Image-Based Intellectual Demarcation in Cadastral Reexaminationy)

  • 김달주;강준오;한웅지;이용창
    • 도시과학
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    • 제7권1호
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    • pp.29-38
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    • 2018
  • The cadastral rehabilitation project, which has been implemented since 2012, is a project to re-examine the national land that is not in conformity with the cadastral map, There is a lot of trouble in securing financial resources for business execution. This study examines the utility of UAS(Unmanned Aerial System) image - based cadastral demarcation as an alternative to budget reduction in the current state of cadastral rehabilitation, reasonable boundary adjustment, UAV(Unmanned Aerial Vehicles) is used to create 3D models and orthoimages of business districts, and to check accuracy by superimposing and comparing with digital maps of NGII(National Geographic Information Institute). As a result of the study, the accuracy of the 3D model and the orthoimage through the SfM(Structure-from-Motion) - based image interpretation of the digital map of the NGII were derived. In particular, we confirmed the similarity of UAS-based orthoimage with the cadastral boundaries affirmation, It is anticipated that the cost saving effect of current survey and boundary survey can be expected. In addition, it is easy to prepare a report to reduce civil complaints, which is a problematic element of the adjustment.

움직임 예측을 이용한 무인항공기 영상에서의 이동 객체 추적 (Moving Object Tracking in UAV Video using Motion Estimation)

  • 오훈걸;이형진;백중환
    • 한국항행학회논문지
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    • 제10권4호
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    • pp.400-405
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    • 2006
  • 본 논문에서는 무인항공기 영상에서 움직임 예측을 이용한 이동 물체 추적 알고리즘을 제안하였다. 제안한 알고리즘은 초기모델 생성단계와 이동 물체 추적 단계로 구성되어있으며, 이전 프레임에 비해 이동 거리가 커진 경우에도 안정적으로 추적할 수 있었다. 그리고 무인항공기 카메라의 흔들림에도 효과적으로 추적을 할 수 있었고, 이동 물체의 위치를 정확히 검출하여 추적시간을 단축할 수 있었다. 블록 영상과 참조 영상 간 이동물체의 유사도 판정은 블록 매칭 알고리즘을 사용하였다. 제안한 알고리즘은 실험을 통해서 기존의 전역탐색 알고리즘보다 향상된 결과를 보여주었다.

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Registration of Aerial Image with Lines using RANSAC Algorithm

  • Ahn, Y.;Shin, S.;Schenk, T.;Cho, W.
    • 한국측량학회지
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    • 제25권6_1호
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    • pp.529-536
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    • 2007
  • Registration between image and object space is a fundamental step in photogrammetry and computer vision. Along with rapid development of sensors - multi/hyper spectral sensor, laser scanning sensor, radar sensor etc., the needs for registration between different sensors are ever increasing. There are two important considerations on different sensor registration. They are sensor invariant feature extraction and correspondence between them. Since point to point correspondence does not exist in image and laser scanning data, it is necessary to have higher entities for extraction and correspondence. This leads to modify first, existing mathematical and geometrical model which was suitable for point measurement to line measurements, second, matching scheme. In this research, linear feature is selected for sensor invariant features and matching entity. Linear features are incorporated into mathematical equation in the form of extended collinearity equation for registration problem known as photo resection which calculates exterior orientation parameters. The other emphasis is on the scheme of finding matched entities in the aide of RANSAC (RANdom SAmple Consensus) in the absence of correspondences. To relieve computational load which is a common problem in sampling theorem, deterministic sampling technique and selecting 4 line features from 4 sectors are applied.

항공사진과 레이져 데이터의 통합에 의한 3 차원 공간정보 활용기술연구 (A Study on the Application Technique of 3-D Spatial Information by integration of Aerial photos and Laser data)

  • 연상호
    • 한국측량학회지
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    • 제28권3호
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    • pp.385-392
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    • 2010
  • A LiDAR technique has the merits that survey engineers can get a large number of measurements with high precision quickly. Aerial photos and satellite sensor images are used for generating 3D spatial images which are matched with the map coordinates and elevation data from digital topographic files. Also, those images are used for matching with 3D spatial image contents through perspective view condition composed along to the designated roads until arrival the corresponding location. Recently, 3D aviation image could be generated by various digital data. The advanced geographical methods for guidance of the destination road are experimented under the GIS environments. More information and access designated are guided by the multimedia contents on internet or from the public tour information desk using the simulation images. The height data based on LiDAR is transformed into DEM, and the real time unification of the vector via digital image mapping and raster via extract evaluation are transformed to trace the generated model of 3-dimensional downtown building along to the long distance for 3D tract model generation.

영상분석기법을 이용한 구하도 복원 대상하천의 하도평가 (Channel Evaluation for Abandoned Channel Restoration Using Image Analysis Technique)

  • 홍일;강준구;권보애;여홍구
    • 한국수자원학회논문집
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    • 제42권5호
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    • pp.397-406
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    • 2009
  • 하천은 다양한 환경조건에 따라 변화될 수 있는 공간으로 구하도를 복원 설계하기 위해서는 현재 하도의 안정성 여부를 파악할 수 있는 하도평가가 필요하다. 하도평가는 대상하천의 지형 및 수리 수문 등 다양한 정보가 요구되지만 국내여건상 과거자료 미비로 인해 시 공간적으로 변화된 하천의 지형학적 정보를 파악하기에는 많은 어려움이 있다. 본 연구는 청미천의 과거 지형도 및 항공사진을 이용한 영상분석을 통해 과거와 현재 하천의 하도변화를 분석하고, 하도평가를 위한 영상분석기법에 대한 적용성을 검토하는데 목적이 있다. 영상분석을 통해 얻은 결과는 구하도 형태 규모, 하도 종 횡단 변화, 미지형 변화 등으로 정량적 분석이 가능하였다. 특히 모래사주의 형상변화는 현재하도의 상태를 파악하는 중요자료로 복원하도 설계 시 하도의 규모, 평수유입유량 등을 선정하기 위한 기초자료가 될 것이다. 이와 같은 결과에서 영상분석기법은 평면적인 정보의 한계는 있으나 복원하도 설계 시 국내 여건을 고려할수 있는 기법으로 활용될 수 있을 것이다.

항공영상을 활용한 도로개발 전·후 산림 훼손지 개체목 분석 (Analysis of Individual Tree Change Using Aerial Photograph in Deforested area Before and After Road Construction)

  • 최재용;김성열;김휘문;송원경;이지영;최원태;문건수
    • 한국환경복원기술학회지
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    • 제21권4호
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    • pp.65-73
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    • 2018
  • Although the road construction in forest is increasing and there is a need for development ecological restoration on deforest area, no consideration has been given to individual trees in there. This study analyzed aerial photographs of deforest area before and after road construction for determining the degree of forest destruction by extracting individual trees. Study area was selected in the sites where are damaged by road construction in GongJu-si, YuSung-gu, and YeongDong-gun. The aerial photograph taken 1979 before construction is panchromatic image of 80cm in GSD (Ground Sample Distance) and other photograph taken 2016 after construction is multi-spectral image of 10cm in GSD. In order to minimize the difference of GSD, we conducted image re-sampling process for setting to same GSD for the two photographs. After that we carried out visual interpretation method for determining to change of individual tree. The result found that for GongJu-si of the number of individual tree was 1,014 in 1979 and 886 in 2016, which decreased by 128 (12.6%) and the average width of those decreased from 5.77m to 5.75m by 0.47%. In case of YoungDong-gun, the number of it was 761 in 1979 and 746 in 2016, which decreased by 2.0% and the average width of it decreased from 8.99mm to 8.90m by 1.1%. Lastly in case of YuSung-gu, the number of it was 1,578 in 1979 and 988 in 2016, which decreased by 37.4% and the average width of it decreased from 7.09m to 6.65m by 6.21%. these result imply that road construction causes destruction of forests. Since there are limitations such as errors due to researcher, it is necessary to construct a quantitative analysis method for the change of the deforest area. It is need to study the method of extracting individual tree in deforest area more accurately using high-resolution image of GSD 10cm or more as well. This study can be used as a basic data for the ecological restoration of the deforest area considering characteristics of individual tree such as height, diameter at breast height, and biomass.

UAV에 의한 정사영상의 품질 개선 방안 (Improvement of Ortho Image Quality by Unmanned Aerial Vehicle)

  • 엄대용;박준규
    • 한국산학기술학회논문지
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    • 제19권11호
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    • pp.568-573
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    • 2018
  • 무인항공기는 유인항공기에 비해 가격이 저렴하고, 운용이 용이하기 때문에 최근 공간정보 구축, 농업, 어업, 기상관측, 통신, 엔터테인먼트 분야 등에서 광범위하게 사용되고 있다. 특히, 공간정보 구축 관련 분야에서 무인항공기는 데이터 취득의 신속성과 경제성 때문에 많은 주목을 받고 있다. 하지만 무인항공기를 이용해 제작되는 정사영상에는 건물이나 산림부분의 왜곡현상이 발생하며, 공간정보 분야의 원활한 활용을 위해서는 이러한 문제를 해결할 필요가 있다. 본 연구에서는 다양한 조건에서 무인항공기 정사영상의 왜곡을 파악하기 위해 고정익, 회전익, 수직이착륙형의 무인항공기를 활용하여 건설현장, 도심지역, 산림지역 등 다양한 대상지역을 촬영하고, 정사영상을 제작하여 분석하였다. 연구를 통해 무인항공기 영상의 중복도가 왜곡현상의 가장 큰 요인이며, 비행고도가 높을수록 왜곡현상이 감소함을 알 수 있었다. 또한 왜곡현상의 개선을 위한 DTM(Digital Terrain Model)을 활용하는 원시영상의 해상도를 낮추어 정사영상의 왜곡을 감소시킬 수 있는 방안을 제시하였다. 향후 왜곡 없는 고품질 무인항공기 성과물은 정밀측량분야의 무인항공기 적용 확대에 크게 기여할 것이다.

PARALLAX ADJUSTMENT FOR REALISTIC 3D STEREO VIEWING OF A SINGLE REMOTE SENSING IMAGE

  • Kim, Hye-Jin;Choi, Jae-Wan;Chang, An-Jin;Yu, Ki-Yun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.452-455
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    • 2007
  • 3D stereoscopic viewing of large scale imagery, such as aerial photography and satellite images, needs different parallaxes relative to the display scale. For example, when a viewer sees a stereoscopic image of aerial photography, the optimal parallax of its zoom-in image should be smaller than that of its zoom-out. Therefore, relative parallax adjustment according to the display scale is required. Merely adjusting the spacing between stereo images is not appropriate because the depths of the whole image are either exaggerated or reduced entirely. This paper focuses on the improving stereoscopic viewing with a single remote sensing image and a digital surface model (DSM). We present the parallax adjustment technique to maximize the 3D realistic effect and the visual comfort. For remote sensing data, DSM height value can be regarded as disparity. There are two possible kinds of methods to adjust the relative parallax with a single image performance. One is the DSM compression technique: the other is an adjustment of the distance between the original image and its stereo-mate. In our approach, we carried out a test to evaluate the optimal distance between a single remote sensing image and its stereo-mate, relative to the viewing scale. Several synthetic stereo-mates according to certain viewing scale were created using a parallel projection model and their anaglyphs were estimated visually. The occlusion of the synthetic stereo-mate was restored by the inpainting method using the fields of experts (FoE) model. With the experiments using QuickBird imagery, we could obtain stereoscopic images with optimized parallax at varied display scales.

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특징점 추출에 의한 비디오 영상등록 (Video Sequences Registration by using Interested Points Extraction)

  • 김성삼;이혜숙;김의명;유환희
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.127-130
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    • 2007
  • The increased availability of portable, low-cost, high resolution video devices has resulted in a rapid growth of the applications for video sequences. These video devices can be mounted in handhold unit, mobile unit and airborne platforms like maned or unmaned helicopter, plane, airship, etc. A core technique in use of video sequences is to align neighborhood video frames to each other or to reference images. For video sequences registration, we extracted interested points from aerial video sequences using Harris, $F{\square}rstner$, and KLT operators and implemented image matching using these points. As the result, we analysed image matching results for each operators and evaluated accuracy of aerial video registration.

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