A ground control point based stereo matching algorithm via iterative dynamic programming is proposed.
提出一种基于地面控制点的迭代动态规划立体匹配算法。
It can reduce the error of the inertial navigation system when using Iterative Closest Contour Point (ICCP) algorithm for track matching on the gravity map, however it brings large computation costs.
利用迭代最近等值点(ICCP)算法对重力图上的航迹进行匹配可以减小惯性导航系统误差，但计算量大。
The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
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