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Publications (9)0 Total impact

  • Soo H. Rho, Jung Kim, Young K. Kwag
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    ABSTRACT: Spaceborne synthetic aperture radar(SAR) can provide a high resolution image in all weather conditions. Spaceborne SAR(Synthetic Aperture Radar) obtains electronic image of earth's surface using electromagnetic waves. SAR image inherently contains geo-location error which is caused by SAR image acquisition geometry, imaging mode, characteristics of reflectivity and image formation process. In this paper, a geolocation error correction method is presented to analyze and correct the geometric distortion by terrain height error. Using RADARSAT-1 image, a simulation is performed to evaluate the proposed geo-location algorithm. To analyze the effect of proposed correction method, the corrected SAR images are compared with the reference image by RMSE values.
    2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, July 24-29, 2011; 01/2011
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    ABSTRACT: Synthetic Aperture Radar(SAR) can provide a high resolution image in all weather conditions. SAR(Synthetic Aperture Radar) obtains electronic image of earth's surface using electromagnetic waves. SAR image inherently contains geo-location error which is caused by SAR image acquisition geometry, imaging mode, characteristics of reflectivity and image formation process. In this paper, a geo-location error correction method is presented to correct terrain geometric distortions such as foreshortening, layover and shadowing in the SAR image. Using RADARSAT-1 image, a simulation is performed to evaluate the proposed geo-location algorithm. To analyze the effect of proposed correction method, the corrected SAR images are compared with the reference image by RMSE values.
    Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on; 01/2011
  • W.Y. Song, S.H. Rho, Y.K. Kwag
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    ABSTRACT: A new automatic bridge detection scheme is proposed for SAR images. The proposed algorithm is based on double-step CFAR detector and river extraction method. The double-step CFAR detector is used to find bridge candidates. The river area is extracted using the global threshold. And then the extracted river area is used to mask the bridge candidates which are not exist on the river area. Using real SAR image, the proposed bridge detection scheme is performed. The test results show good performance in complex environment.
    Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on; 01/2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: Spaceborne SAR (Synthetic Aperture Radar) image inherently contains geo-location errors which are caused by SAR image acquisition geometry, imaging mode, characteristics of reflectivity and image formation process. Since the geo-location error caused by SAR image acquisition geometry is inevitable, these errors are should be considered and corrected during the image formation process. In this paper, a geo-location error correction method is presented to analyze and correct the azimuth skew and ground range non-linearity error, and orientation error. This scheme does not require the aids of GCP and DEM, and instead directly extract the key correction parameters from the SAR raw data. Using RADARSAT-1 image, a simulation is performed to evaluate the proposed geo-location algorithm. To analyze the effect of proposed correction method, the corrected SAR images are compared with the reference image by RMSE values.
    IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: A new double-step fast CFAR scheme is proposed for multiple target detection in SAR images. The conventional multiple-cell based CFAR (MC-CFAR) detector is performed to find a potential target area. MC-CFAR carries out a quick search by which the CFAR sliding window is shifted by several cells for the reduced computational loads and it can also effectively reduce the small sized false alarm in the vicinity of the test cell. For the final target decision, the single-cell based CFAR detection is only applied to the pre-processed potential target areas. Using real-SAR image, the proposed CFAR scheme is compared with the conventional method in the sense of computational time and false alarm rate, which shows the faster computational speed and the lower false alarm rate.
    01/2010;
  • [Show abstract] [Hide abstract]
    ABSTRACT: A new double-step fast CFAR scheme is proposed for multiple target detection in SAR images. The conventional multiple-cell based CFAR (MC-CFAR) detector is performed to find a potential target area. MC-CFAR carries out a quick search by which the CFAR sliding window is shifted by several cells for the reduced computational loads and it can also effectively reduce the small sized false alarm in the vicinity of the test cell. For the final target decision, the single-cell based CFAR detection is only applied to the pre-processed potential target areas. Using real-SAR image, the proposed CFAR scheme is compared with the conventional method in the sense of computational time and false alarm rate, which shows the faster computational speed and the lower false alarm rate.
    Radar Conference, 2010 IEEE; 01/2010
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    ABSTRACT: The velocity and acceleration of the ground moving target can cause the target position to be displaced and defocused in the SAR image. In this paper, the displacement compensation scheme is presented to correct the displaced position and defocused moving target image in the DPCA based SAR-GMTI system. The influence of the ground moving target due to the velocity and acceleration is analyzed in range and azimuth directions, and its compensation method is presented with the simulation results. The performance of the proposed method is compared with respect to the estimated velocity and defocused quantity in both range and azimuth directions.
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on; 11/2009
  • Woo Y. Song, Soo H. Rho, Young K. Kwag
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    ABSTRACT: A new automatic bridge detection scheme is proposed for SAR images. The proposed algorithm is based on double-step CFAR detector and river extraction method. The double-step CFAR detector is used to find bridge candidates. The river area is extracted using the global threshold. And then the extracted river area is used to mask the bridge candidates which are not exist on the river area. Using real SAR image, the proposed bridge detection scheme is performed. The test results show good performance in complex environment.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Synthetic Aperture Radar(SAR) can provide a high resolution image in all weather conditions. SAR(Synthetic Aperture Radar) obtains electronic image of earth's surface using electromagnetic waves. SAR image inherently contains geo- location error which is caused by SAR image acquisition geometry, imaging mode, characteristics of reflectivity and image formation process. In this paper, a geo-location error correction method is presented to correct terrain geometric distortions such as foreshortening, layover and shadowing in the SAR image. Using RADARSAT-1 image, a simulation is performed to evaluate the proposed geo-location algorithm. To analyze the effect of proposed correction method, the corrected SAR images are compared with the reference image by RMSE values.