lzd的翻译

To select an appropriate algorithm for DEM matching, this paper reviews the development of the two popular 3D surface matching algorithms, least z-difference ( LZD) and iterative closest point ( ICP), and describes their common logical framework.

为了选择一种更适合数字高程模型匹配的算法，首先回顾了目前广泛使用的两种3维表面匹配算法&最小高差算法和最近点迭代算法的发展，并给出了二者共同的逻辑框架；

The research result shows that its matching accuracy is higher than that of the M-LZD ( LZD using M-estimator) and LMS-LZD ( LZD using least-median-of-squares estimator) algorithms.

结果表明，新方法的匹配精度比目前代表性的采用M-估计的LZD算法（M-LZD）和采用最小平方中位数的LZD算法（LMS-LZD）的精度高。

Through analyzing the algorithm principle and the transformation parameters relationship, the author puts forward slope-smoothing technique to strengthen and improve the pull-in range of LZD and the matching automatization degree.

通过分析匹配算法原理和转换参数相对关系，提出了增强LZD算法拉入范围的坡度平滑技术，改善了LZD算法的拉入范围，增强了匹配自动化程度；