lzd

Comparison of LZD and ICP Algorithms in DEM Matching without Control Points

用于无控制DEM匹配的LZD和ICP算法的比较

Development of DoD Variable Displacement System in LZD Engines

LZD发动机DoD可变排量系统的开发

Therefore , LZD is more appropriate for DEM matching with small pose different .

因此，对于表面姿态差异较小的DEM匹配而言，LZD算法更加适合。

This article gives the LZD matching technique in 3D free-form surface matching without control points based on Grid-DEM .

针对三维自由表面匹配问题，实现基于LZD算法进行无控制DEM匹配，克服了控制点布设的困难。

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；

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。

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；

Two representative algorithms , least Z-difference ( LZD ) and iterative closest points ( ICP ) are compared by some simulated experiments . The testing results approve that LZD is more suitable for DEM matching according to its compositive performance .

通过试验分析现有的2种代表性算法，最小高差算法（LZD）和最近点迭代算法（ICP），证实了LZD算法的综合性能指标更适合DEM匹配。