• Title/Summary/Keyword: Radargrammetry

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Assessment of DEM Generated by Stereo C-band and X-band SAR images using Radargrammetry (Radargrammetry를 이용한 C-밴드 및 X-밴드 SAR 위성영상의 DEM 생성 평가)

  • Song, Yeong Sun;Kim, Gi Hong
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.109-116
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    • 2013
  • To extract the 3D geometric information from SAR(Synthetic Aperture Radar) images, two different techniques, interferometric SAR and radargrammetry, have been widely used. InSAR is most widely used for the generation of precise DEM(Digital Elevation Model) until now. But, Interferometric SAR requires severe temporal correlation over areas covered with vegetation and high relief areas. Because radargrammetry is less sensible to temporal correlation, it can provide better results than interferometric SAR in certain, especially X-band SAR. In this paper, we assess the properties of DEMs generated by radargrammetry using stereo C-band RADARSAT-1 images and X-band TerraSAR-X images.

RADARGRAMMETRY OF HIGH RESOLUTION SYNTHETIC APERTURE RADAR;A THEORETICAL STUDY

  • Lee, Hoon-Yol
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.266-269
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    • 2007
  • This paper reports the preliminary results on the study of radargrammetry especially for a high-resolution satellite synthetic aperture radar system. Theoretical configurations for radargrammetry in terms of coverage, orbit selection, incidence angles, height sensitivity of parallax and height resolution of DEM were calculated according to the proposed orbit characteristics and the imaging modes of KOMPSAT-5 SAR. Possible imaging strategies and mission scenarios for coverage versus rapidity are suggested for a future mission dedicated to radargrammetry.

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Analysis of KOMPSAT-5 Orbit for Radargrammetry at Different Latitudes (Radargrammetry 적용을 위한 위도에 따른 KOMPSAT-5 궤도 분석)

  • Jang, So-Young;Lee, Hoon-Yol
    • Proceedings of the KSRS Conference
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    • 2008.03a
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    • pp.63-66
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    • 2008
  • 2010년 5월에 발사 예정인 KOMPSAT-5(KOrea Multi-Purpose SATellite-5)는 KOMPSAT-1, 2호에 탑재된 광학센서와는 달리 기상상태와 태양고도에 제약을 받지 않고 자료 획득이 가능한 SAR 시스템이 탑재된다. 본 연구에서는 KOMPSAT-5의 SAR 시스템으로부터 radargrammetry 기법을 적용하기 위해 위성의 궤도와 영상 모드를 분석하였다. Radargrammetry 적용을 위한 SAR 영상 pair의 parallax의 height sensitivity를 이론상으로 계산하였다. 그리고 STK 소프트웨어를 사용하여 대전과 남극 세종기지에서의 최적 조건을 각각 예시하였다. 입사각이 20$^{\cric}$-45$^{\cric}$가 되는 nominal mode의 descending pass만을 사용하여 height sensitivity가 0.5-0.75 사이의 영상 조합을 찾았다. 그 결과 Pass Number 쌍으로서, 대전은 5-4, 7-5, 8-5의 영상 조합을 하였을 때 radargrammetry 적용이 용이하고, 남극 세종기지는 8-6, 9-7, 10-7, 11-8, 12-8, 13-9, 14-9, 15-9, 15-10, 15-11의 영상 조합을 하였을 때 radargrammetry 적용이 가능한 것으로 예측되었다.

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Evaluation of 3D-Positioning Method Using X-band SAR Satellite Images - Focused on InSAR, Radargrammetry and RPC (X-band SAR 위성영상의 3차원 위치결정 기법 평가 - 레이더 간섭기법, Radargrammetry, RPC를 중심으로)

  • Song, Yeong Sun;Lee, Jung Han;Jang, In Tae
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.117-125
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    • 2014
  • Korea's first X-band SAR satellite KOMPSAT-5 has been launched in 2013, so the research related to the X-band SAR satellite image is required to increase the utilization of KOMPSAT-5. In this study, we generated a DEM(Digital Elevation Model) using X-band SAR satellite images based on three methods which are InSAR, radargrammetry and RPC(Rational Polynomial Coefficients), and evaluated the performance of each methods. The four stripmap mode TerraSAR-X images taken in Daejeon were used to generate DEM, and accuracy was evaluated using DEM by IKONOS RPC. As results, DEM produced by the InSAR showed the highest accuracy. Also, we knew that RPC could be effective method if you want to create a large area DEM which contains the various elevation.

SAR 영상을 이용한 수치표고모형 제작방법에 관한 연구

  • 이창원;문우일
    • Proceedings of the KSRS Conference
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    • 2000.04a
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    • pp.85-90
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    • 2000
  • 백두산 지역의 JERS-1 SLC 영상과 볼리비아 지역의 RADARSAT 영상에 대해 각각 interferometry와 radargrammetry를 이용하여 수치표고모형을 제작하였다. Interferometry 는 coregistration, interferogram 작성, phase unwrapping 과정으로 나눠지는데 temporal decorrelation으로 낮은 coherence, 부정확한 궤도정보가 DEM의 정확도를 저하시키는 주요 원인으로 작용하였다. Radargrammetry는 photogrammetry와 동일한 처리과정, 즉 GCP를 이용한 stereo model 설정, 영상 matching, 고도추출단계로 이루어지지만 광학영상 과는 다른 SAR 영상의 기하학적, 방사적 특성이 고려되어야 한다.

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A Study on RFM Based Stereo Radargrammetry Using TerraSAR-X Datasets (스테레오 TerraSAR-X 자료를 이용한 RFM 기반 Radargrammetry에 관한 연구)

  • Bang, SooNam;Koh, JinWoo;Yun, KongHyun;Kwak, JunHyuck
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1D
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    • pp.89-94
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    • 2012
  • The RFM (Rational Function Model), as an alternative to physical sensor models has been widely used for photogrammetric processing of high resolution optical satellite imagery. However, the application of RF modeling to the SAR (Synthetic Aperture Radar) is very limited. In this paper, stereo radargrammetric processing of TerraSAR-X stereo pairs with RFM is implemented and analyzed. The investigation has shown that the accuracy of TerraSAR-X DSM is similar to that of the commercial S/W product. Finally, it is demonstrated that RFM is effective and feasible in the application to the radargrammetric SAR image processing.

Analysis of KOMPSAT-5 Orbit for Radargrammetry (레이더 측량기법 적용을 위한 다목적실용위성 5호 궤도 분석)

  • Lee, Hoon-Yol;Jang, So-Young
    • Korean Journal of Remote Sensing
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    • v.24 no.4
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    • pp.351-358
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    • 2008
  • KOMPSAT-5 will be launched in 2010 carrying a SAR (Synthetic Aperture Radar) system to obtain high resolution images of the earth surface regardless of weather or solar condition. In this paper, the orbits of KOMPSAT-5 and the imaging modes of SAR were analyzed for radargrammetry, and the best image pairs were suggested. We set the pass number from the nearest orbit to a given ground point and selected image pairs for radargrarnmetry, with height sensitivity of parallax higher than 0.5 to achieve enough height resolution and with the value lower than 0.8 to avoid errors from geometric distortion. On the equator, for example, where the distance between two adjacent passes is fixed to 95 km, we solved the orbit geometry and found that the image pairs with the pass numbers of 3-2 and 5-3 are suitable for radargrarnmetry. As the examples with arbitrary latitude, we selected Daejeon and Sejong Antarctic stations and calculated the orbital elements by using STK software. Three image pairs (5-4, 7-5 and 8-5) were found suitable for radargrammetry at Daejeon while 10 pairs (8-6, 9-7, 10-7, 11-8, 12-8, 13-9, 14-9, 15-9, 15-10 and 15-11) at Sejong Antarctic station.

Generation of Digital Elevation Model from Radargrammetry Using Pseudo Control Points (가상기준점을 이용한 Radargrammetry로부터 수치고도모형 생성)

  • 손홍규;송영선;윤공현;신대호
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.315-321
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    • 2004
  • SAR 영상을 처리하는 과정에 있어 기준점을 취득하는 일은 매우 어렵고 시간과 비용이 많이 소모된다. 본 연구에서는 기준점 취득문제를 해결하기 위해서 단일기준점으로부터 가상기준점을 생성하여 위성제도를 모델링하고 이를 이용하여 수치고도모형을 생성하는 기법을 제시하였다. 가상기준점을 이용하여 생성된 수치고도모형의 정확도를 평가하기 위해서 추가적으로 10개의 기준점을 이용하여 수치고도모형을 생성하였다. 각각 생성된 수치고도모형을 수치지도로부터 생성된 수치고도모형과 비교하여 정확도를 평가하였다.

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Extraction of Ground Control Point (GCP) from SAR Image

  • Hong, S.H.;Lee, S.K.;Won, J.S.;Jung, H.S.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1058-1060
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    • 2003
  • A ground control point (GCP) is a point on the surface of Earth where image coord inates and map coordinates can be identified. The GCP is useful for the geometric correction of systematic and unsystematic errors usually contained in a remotely sensed data. Especially in case of synthetic aperture radar (SAR) data, it has serious geometric distortions caused by inherent side looking geometry. In addition, SAR images are usually severely corrupted by speckle noises so that it is difficult to identify ground control points. We developed a ground point extraction algorithm that has an improved capability. An application of radargrammetry to Daejon area in Korea was studied to acquire the geometric information. For the ground control point extraction algorithm, an ERS SAR data with precise Delft orbit information and rough digital elevation model (DEM) were used. We analyze the accuracy of the results from our algorithm by using digital map and GPS survey data.

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