写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
53 巻 , 6 号
選択された号の論文の8件中1~8を表示しています
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原著論文
  • 野中 崇志, 塚原 弘一
    2015 年 53 巻 6 号 p. 242-249
    発行日: 2015年
    公開日: 2016/01/01
    ジャーナル フリー
    The purpose of this study was to acquire the knowledge about the application of the constructed model for the evaluation of the geometric accuracy of the terrain corrected data to high-resolution TerraSAR-X data. Firstly, we focused on the simple model of geometric errors of range direction caused by the elevation errors of utilized DEM, then developed the model to estimate the geometric accuracy using the parameter of the incidence angle. In the next stage, we examined the method to validate the developed model, and reviewed the previous studies, which we conducted the geometric accuracy evaluation of TerraSAR-X data for both flat and mountain areas. We applied the model to these data with different incidence angles. The results showed that the accuracy of the model was about 1m both in the flat and mountain area. We also found that the direction for the major axis of the ellipse for the geometric errors tallied with the range direction. The analysis showed that the elevation accuracy of ASTER DEM with the grid of 30m was about half of SRTM DEMs with 90m. This study implies that for the developed model we can estimate the geometric accuracy of the terrain corrected data with the certain accuracy.
  • 織田 和夫
    2015 年 53 巻 6 号 p. 250-256
    発行日: 2015年
    公開日: 2016/01/01
    ジャーナル フリー
    This paper proposes five-point algorithm with initial value estimation and non-linear least square optimization. Five-point algorithm is a powerful method for relative orientation because it requires no initial assumption of camera position and attitude. This algorithm algebraically calculates an essential matrix from five point correspondences between two calibrated cameras. However, a result of five-point algorithm includes multiple solutions and some selecting process must be executed. The method proposed here tries to calculate the appropriate essential matrix with non-linear optimization with appropriate initial values, which is obtained with additional 3 pairs of corresponding points. In this paper the relationship between traditional parametric relative orientation and essential matrix is discussed, and after that five-point algorithm with non-linear least square optimization is introduced.
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