• 제목/요약/키워드: Epipolar Images

검색결과 78건 처리시간 0.023초

DIRECT EPIPOLAR IMAGE GENERATION FROM IKONOS STEREO IMAGERY BASED ON RPC AND PARALLEL PROJECTION MODEL

  • Oh, Jae-Hong;Kim, Kyung-Ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.860-863
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    • 2006
  • Epipolar images have to be generated to stereo display aerial images or satellite images. Pushbroom sensor is used to acquire high resolution satellite images. These satellite images have curvilinear epipolar lines unlike the epipolar lines of frame images, which are straight lines. The aforementioned fact makes it difficult to generate epipolar images for pushbroom satellite images. If we assume a linear transition of the sensor having constant speed and attitude during image acquisition, we can generate epipolar images based on parallel projection model (2D Affine model). Recent high resolution images are provided with RPC values so that we can exploit these values to generate epipolar images without using ground control points and tie point. This paper provides a procedure based on the parallel projection model for generating epipolar images directly from a stereo IKONOS images, and experimental results.

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Direct Epipolar Image Generation From IKONOS Stereo Imagery Based On RPC and Parallel Projection Model

  • Oh, Jae-Hong;Shin, Sung-Woong;Kim, Kyung-Ok
    • 대한원격탐사학회지
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    • 제22권5호
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    • pp.451-456
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    • 2006
  • Epipolar images have to be generated to stereo display aerial images or satellite images. Pushbroom sensor is used to acquire high resolution satellite images. These satellite images have curvilinear epipolar lines unlike the epipolar lines of frame images, which are straight lines. The aforementioned fact makes it difficult to generate epipolar images for pushbroom satellite images. If we assume a linear transition of the sensor having constant speed and attitude during image acquisition, we can generate epipolar images based on parallel projection model (20 Affine model). Recent high resolution images are provided with RPC values so that we can exploit these values to generate epipolar images without using ground control points and tie point. This paper provides a procedure based on the parallel projection model for generating epipolar images directly from a stereo IKONOS images, and experimental results.

Determination of Epipolar Geometry for High Resolution Satellite Images

  • Noh Myoung-Jong;Cho Woosug
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.652-655
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    • 2004
  • The geometry of satellite image captured by linear pushbroom scanner is different from that of frame camera image. Since the exterior orientation parameters for satellite image will vary scan line by scan line, the epipolar geometry of satellite image differs from that of frame camera image. As we know, 2D affine orientation for the epipolar image of linear pushbroom scanners system are well-established by using the collinearity equation (Testsu Ono, 1999). Also, another epipolar geometry of linear pushbroom scanner system is recently established by Habib(2002). He reported that the epipolar geometry of linear push broom satellite image is realized by parallel projection based on 2D affine models. Here, in this paper, we compared the Ono's method with Habib's method. In addition, we proposed a method that generates epipolar resampled images. For the experiment, IKONOS stereo images were used in generating epipolar images.

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방향코사인을 이용한 드론영상의 에피폴라 영상제작 (Generation of Epipolar Image from Drone Image Using Direction Cosine)

  • 김의명;최한승;홍송표
    • 한국측량학회지
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    • 제36권4호
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    • pp.271-277
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    • 2018
  • 에피폴라 영상은 원 영상에서 y-시차를 제거한 영상으로 3차원 입체 모델을 생성하거나 지도를 제작하기 위해서 필수적인 기술이다. 에피폴라 영상 제작에는 두 영상에서 특징점을 정합한 후 상호표정요소를 추정하여 생성하는 방법과 외부표정요소를 결정한 후 두 영상의 기선과 회전각을 이용하는 방법이 있다. 본 연구에서는 입력 영상의 외부표정요소에서 방향코사인을 이용하여 에피폴라 영상을 제작하는 방법과 원 영상에서 에피폴라 영상으로 변환할 때 용이한 계산을 위하여 변환관계를 행렬을 이용하는 방법론을 제안하였다. 제안한 방법론의 적용성은 고정익과 회전익 드론에서 촬영한 영상을 이용하여 평가하였으며 그 결과 드론의 형태에 관계없이 에피폴라 영상이 적합하게 제작됨을 알 수 있었다.

RPC를 기반으로 한 아리랑 2호 에피폴라 영상제작 (RPC-based epipolar image resampling of Kompsat-2 across-track stereos)

  • 오재홍;이효성
    • 한국측량학회지
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    • 제29권2호
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    • pp.157-164
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    • 2011
  • As high-resolution satellite images have enabled large scale topographic mapping and monitoring on global scale with short revisit time, agile sensor orientation, and large swath width, many countries make effort to secure the satellite image information. In Korea, KOMPSAT-2 (KOrea Multi-Purpose SATellite-2) was launched in July 28 2006 with high specification. These satellites have stereo image acquisition capability for 3D mapping and monitoring. To efficiently handle stereo images such as stereo display and monitoring, the accurate epipolar image generation process is prerequisite. However, the process was highly limited due to complexity in epipolar geometry of pushbroom sensor. Recently, the piecewise approach to generate epipolar images using RPC was developed and tested for in-track IKONOS stereo images. In this paper, the piecewise approach was tested for KOMPSAT-2 across-track stereo images to see how accurately KOMPSAT-2 epipolar images can be generated for 3D geospatial applications. In the experiment, two across-track stereo sets from three KOMPSAT-2 images of different dates were tested using RPC as the sensor model. The test results showed that one-pixel level of y-parallax was achieved for manually measured tie points.

이종 위성센서 영상을 이용한 에피폴라 영상 제작 (Generation of Epipolar Image Using Different Types of Satellite Sensors Images)

  • 성민규;최선용;장세진
    • 한국측량학회지
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    • 제32권1호
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    • pp.39-47
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    • 2014
  • 본 연구에서는 해상도가 서로 다른 고해상 위성영상 IKONOS-2와 SPOT-5 영상의 RPC(Rational Polynomial coefficients)와 위성보조정보 자료 등을 활용하여 해상도 조정 및 piecewise 방법을 적용하여 에피폴라(Epipolar) 영상을 제작하였다. 또한, 에피폴라 영상을 제작하기 위한 선행 작업으로 두 영상의 입체기하 분석과 RPC 블록모델링을 수행하였다. 제작된 에피폴라 영상의 정확도 평가를 위해 촬영 대상지역 중, 지형의 특성에 따라 산악지, 농경지, 도심지 및 주거지 등 육안 판독시 식별이 명확한 지점을 세분류하여 Y-시차를 분석하였으며, 이때 사용된 점을 대상으로 에피폴라 영상의 입체관측을 통해 획득한 3차원 좌표와 원영상의 블록모델링에 의해 계산된 3차원 좌표 차이의 RMSE를 계산하였다. 분석결과 Y 시차는 1 화소(pixel) 이내, RMSE 오차는 X, Y 및 Z에 대해 2m 이내임을 확인하였다.

Epipolar Geometry of Line Cameras Moving with Constant Velocity and Attitude

  • Habib, Ayman F.;Morgan, Michel F.;Jeong, Soo;Kim, Kyung-Ok
    • ETRI Journal
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    • 제27권2호
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    • pp.172-180
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    • 2005
  • Image resampling according to epipolar geometry is an important prerequisite for a variety of photogrammetric tasks. Established procedures for resampling frame images according to epipolar geometry are not suitable for scenes captured by line cameras. In this paper, the mathematical model describing epipolar lines in scenes captured by line cameras moving with constant velocity and attitude is established and analyzed. The choice of this trajectory is motivated by the fact that many line cameras can be assumed to follow such a flight path during the short duration of a scene capture (especially when considering space-borne imaging platforms). Experimental results from synthetic along-track and across-track stereo-scenes are presented. For these scenes, the deviations of the resulting epipolar lines from straightness, as the camera's angular field of view decreases, are quantified and presented.

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Highly Dense 3D Surface Generation Using Multi-image Matching

  • Noh, Myoung-Jong;Cho, Woo-Sug;Bang, Ki-In
    • ETRI Journal
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    • 제34권1호
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    • pp.87-97
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    • 2012
  • This study presents an automatic matching method for generating a dense, accurate, and discontinuity-preserved digital surface model (DSM) using multiple images acquired by an aerial digital frame camera. The proposed method consists of two main procedures: area-based multi-image matching (AMIM) and stereo-pair epipolar line matching (SELM). AMIM evaluates the sum of the normalized cross correlation of corresponding image points from multiple images to determine the optimal height of an object point. A novel method is introduced for determining the search height range and incremental height, which are necessary for the vertical line locus used in the AMIM. This procedure also includes the means to select the best reference and target images for each strip so that multi-image matching can resolve the common problem over occlusion areas. The SELM extracts densely positioned distinct points along epipolar lines from the multiple images and generates a discontinuity-preserved DSM using geometric and radiometric constraints. The matched points derived by the AMIM are used as anchor points between overlapped images to find conjugate distinct points using epipolar geometry. The performance of the proposed method was evaluated for several different test areas, including urban areas.

간략모형식의 에피폴라 기하 생성 및 분석 (Epipolar Geometry of Alternative Sensor Models for High-Resolution Satellite Imagery)

  • 정원조;김의명;유복모;유환희
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 추계학술발표회 논문집
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    • pp.179-184
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    • 2004
  • High-resolution satellite imagery are used in various application field such as generation of DEM, orthophto, and three dimensional city model. To define the relation between image and object space, sensor modelling and generation of the epipolar image is essential processes. As the header information or physical sensor model becomes unavailable for the end users due to the national security or commercial purpose, generation of epipolar images without these information becomes one of important processes. In this study, epipolar geometry is generated and analysed by applying two generalized sensor models; parallel and parallel-perspective model Epipolar equation of the parallel model has linear property which is relatively simple; Epipolar geometry of the parallel-perspective model is non-linear. This linear property enable us to generate epipolar image efficiently.

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에피폴라 기하와 군집화 알고리즘을 이용한 정밀 정사투영영상 제작에 관한 연구 (A Study on True Ortho-photo Generation Using Epipolar Geometry and Classification Algorithm)

  • 오금희;황현덕;김준철;신성웅
    • 한국측량학회지
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    • 제26권6호
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    • pp.633-641
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    • 2008
  • 본 논문은 에피폴라기하를 이용하여 신속하게 폐색지역을 탐지하고 유사한 패턴을 자동으로 찾아 폐색지역을 복원하여 정밀 정사투영영상을 자동적으로 생성하기 위한 방법을 제안한다. 기존에는 건물에 대한 부가적인 정보를 이용하여 영상의 폐색지역을 탐지하였지만, 본 논문에서는 카메라의 외부표정요소와 DTM 정보만을 이용하여 폐색지역을 자동으로 탐지하고 탐지된 폐색지역에 대한 복원은 우선적으로 중복된 영상을 사용하여 복원을 수행한 후, K-평균 군집화 알고리즘을 사용하여 대표 패턴을 찾아 폐색지역을 완벽하게 복원한다. 이 때, 중복된 영상의 동일한 지역을 자동으로 빠르게 탐지하기 위해 에피폴라 알고리즘을 사용한다.