摘要
分析已有简化算法在雷达模拟数据简化中的一些不足,提出一种以面积损失度为控制参数的简化算法。通过对电子海图岸线数据的统计分析,抽象出岸线特征。采用从整体到局部的思想,首先通过线要素弯曲方向和弯曲程度识别以及前向长度控制整体提取出岸线特征数据点;以上述特征点为分段点进行局部优化探索,抽取局部最优特征点。经过理论分析和实验结果对比,该算法在对岸线数据有较高的化简率的同时完成对人工线要素和自然线要素的区分,并实现了人工线要素的几何特征完整保留、自然线要素几何特征合理拟合。对简化后的数据进行了精度分析,结果表明该算法的几何精度和位置精度均较高,从而证明了该算法在雷达模拟数据简化中的可行性。
The shortcomings of the existing shoreline simplification algorithms in radar simulation data simplification aspects were analyzed, and a simplification algorithm taking area loss degree as control parameter was proposed. Through analyzing the electronic chart shoreline statistical data, the shoreline features were abstracted. To follow the principle of going from whole to part, the shoreline feature data points by identifying the direction and the curvature of the curved elements and controlling forward length were extracted; then using the feature points as a staging point, the local feature points were extracted also Comparing theoretical analysis and experiment results, the proposed algorithm has a higher shoreline simplification rate and the capacity of distinguishing the artificial and natural elements simultaneously, at the same time it can preserve completely the artificial line feature and fit natural line element reasonably. The accuracy analysis of the simplified results shows that the algorithm has high geometric precision and location precision. So the algorithm has feasibility in radar simulation data simplification.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第9期2008-2014,共7页
Journal of System Simulation
基金
国家973计划项目子课题(2009CB320805)
中央高校基本科研业务费专项资金(3132013302)
辽宁省自然科学基金(201202018)
关键词
简化算法
雷达模拟数据
弯曲识别
前向长度
精度分析
simplification algorithm
radar simulation data
curve identify
forward length
accuracy analysis