An automatic image-map registration algorithm using modified partial Hausdorff distance
An automatic image-map registration algorithm using modified partial Hausdorff distance
复制标题
一种使用修正的部分豪斯多夫距离的自动图像映射配准算法
DOI：
10.1109/igarss.2005.1526609
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Y. Kuroki
中科院分区：
文献类型：
--
作者：
Li Tian;S. Kamata;Yoshifumi Ueshige;Y. Kuroki
影像-地图配准的目的是利用遥感影像对地理信息系统中的数字地图进行配准。由于从RSI中提取的边缘点与从数字地图中提取的边缘点有很大的差异，不同边缘点的配准误差会传播到最终的配准结果中。在本文中，我们提供了一个自动算法的图像地图配准问题。提出了一种新的距离测度--修正部分Hausdorff距离（MPHD）.这种方法对地图和图像之间的差异有很大的容忍度。为了降低计算复杂度，我们还使用希尔伯特曲线来选择边缘点的初始候选。可以调整初始候选的数量以满足所需的搜索精度和/或速度。实验结果表明，该算法的MPHD可以为图像-地图配准提供足够的信息。关键词-自动图像-地图配准;边缘检测; Hilbert曲线; MPHD
The purpose of image-map registration is to revise the digital map included in Geographic Information System (GIS) with Remote Sensing Images (RSI). Because edge points extracted from RSI are very different from those extracted from digital maps, the error of registration different edge points propagates to the final registration results. In this paper, we provide an automatic algorithm for the image-map registration problem. A novel concept of modified partial Hausdorff distance (MPHD) is proposed as a distance measure. This measure is quite tolerant of the differences between map and image. In order to decrease the computational complexity, we also use Hilbert curve to select the initial candidates of edge points in our algorithm. The number of initial candidates can be adjusted to meet the required search accuracy and/or speed. The experimental results implicate that MPHD of our algorithm could provide sufficient information for image-map registration. Keywords-automatic image-map registration; edge detection; Hilbert curve; MPHD