An algorithm is described for the automated registration of remotely sensed imagery that registers 6000 × 6000-pixel images in 8–18 minutes on an IBM RISC System/6000® workstation. The resulting registration is accurate to the subpixel level even in the presence of noise and large areas of change in the images. It is shown that the registration- mapping function for parallel projections has the form F(x,y) = A(x,y) + h(x,y)e, where A(x,y) is an affine transformation, h(x,y) is a function that depends on the topographic heights, and e is a vector that defines the epipolar lines. The algorithm determines the parameters of this equation using only the image data, without knowledge of the viewing orientations or scene point coordinates. The search for match points is then a one-dimensional search along the epipolar lines, which greatly increases the speed and accuracy of the registration.
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机译:描述了一种用于自动注册遥感图像的算法,该算法可在8到18分钟内在IBM RISC System /6000®工作站上注册6000×6000像素的图像。即使在图像中存在噪声和较大变化区域的情况下,所产生的配准也精确到亚像素级别。结果表明,平行投影的配准映射函数的形式为F(x,y)= A(x,y)+ h(x,y)e,其中A(x,y)是仿射变换h (x,y)是取决于地形高度的函数,而e是定义对极线的向量。该算法仅使用图像数据确定该方程式的参数,而无需了解观察方向或场景点坐标。然后,搜索匹配点就是沿着对极线的一维搜索,这极大地提高了配准的速度和准确性。
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