Based on the principle of computer vision, this paper presents a matrix algorithm for the coordinate transformation from visual plane to geographical plane.
在计算机视觉原理的基础上，本文提出了一种求取从视平面坐标到实际坐标转换矩阵的算法。
The kalman filter algorithm under hybrid coordinate and unscented transformation (UT) algorithm are investigated.
研究了混合坐标系下的卡尔曼滤波算法和采样变换(UT)算法。
The optimal iterative search process includes the selection of the parameter optimization algorithm, the gray interpolation calculation during the process of coordinate transformation.
其中优化迭代搜索过程又包括各参数优化算法的选取、坐标变换过程中灰度的插值计算等。
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