![]() Study on elemental features of Longquan celadon at Fengdongyan kiln site in Yuan and Ming Dynasties by EDXRFĮnergy Technology Data Exchange (ETDEWEB) ![]() The RFM-based sensor orientation accuracies of the three ZiYuan-3 images reached 0.981 pixels, 0.890 pixels, and 1 After the nonlinear bias compensation with the estimated cubic splines, the influence of the attitude oscillations could be eliminated. Even if the number of GCPs used to determine the affine transformation parameters was increased from 4 to 16, these nonlinear biases could not be effectively compensated. The experimental results showed that before the nonlinear bias compensation, the residual errors of the independent check points were nonlinearly biased. Finally, the affine transformation parameters are used to compensate the residual biases in the RPCs. Then, the estimated cubic splines are used to compensate the nonlinear biases in the RPCs. Second, one cubic spline is used to model the residual errors of the virtual control points in the row direction and another cubic spline is used to model the residual errors in the column direction. First, the RPCs are calculated using a three-dimensional virtual control grid generated based on a physical sensor model. In this approach, no actual ground control points (GCPs) are required to determine the cubic splines. In order to eliminate the influence of attitude oscillations on the RFM-based sensor orientation, a feasible nonlinear bias compensation approach for ZiYuan-3 imagery with cubic splines is proposed. The sensor orientation accuracy is thereby worse than expected. In the sensor orientation of ZiYuan-3 imagery based on a rational function model (RFM), these nonlinear biases cannot be effectively compensated by an affine transformation. ![]() As a result of such oscillations, the rational polynomial coefficients (RPCs) obtained using a terrain-independent scenario often have nonlinear biases. ![]() Like many high-resolution satellites such as the ALOS, MOMS-2P, QuickBird, and ZiYuan1-02C satellites, the ZiYuan-3 satellite suffers from different levels of attitude oscillations. Nonlinear bias compensation of ZiYuan-3 satellite imagery with cubic splinesĬao, Jinshan Fu, Jianhong Yuan, Xiuxiao Gong, Jianya ![]()
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