| 基于ICP和模拟退火遗传算法的DEM无控匹配 |
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| 引用本文： | 沈鹏,徐青,邢帅,江腾达,陈宇.基于ICP和模拟退火遗传算法的DEM无控匹配[J].海洋测绘,2018(2):52-56. |
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| 作者姓名： | 沈鹏 徐青 邢帅 江腾达 陈宇 |
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| 作者单位： | 解放军信息工程大学地理空间信息学院 |
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| 基金项目： | 国家973计划(2012CB720001)；国家自然科学基金(41371436) |
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| 摘 要： | 为对DEM进行分析、管理和应用,有必要对DEM匹配技术进行研究。为此,提出一种基于ICP和模拟退火遗传算法的多源DEM无控匹配方法,利用扫描线生成DEM的点云并利用ICP进行粗匹配,并利用模拟退火遗传算法对参数精求解。实验结果表明,算法可以完成多源DEM的无控制匹配,运行效率优于遗传算法,求解精度优于ICP算法。
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| 关 键 词： | DEM匹配 ICP算法 遗传算法 模拟退火算法 模拟退火遗传算法 |
DEM Matching Without Control Points Based on ICP and Simulated Annealing Genetic Algorithm |
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| SHEN Peng,XU Qing,XING Shuai,JIANG Tengd,CHEN Yu.DEM Matching Without Control Points Based on ICP and Simulated Annealing Genetic Algorithm[J].Hydrographic Surveying and Charting,2018(2):52-56. |
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| Authors: | SHEN Peng XU Qing XING Shuai JIANG Tengd CHEN Yu |
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| Institution: | School of Surveying and Mapping,Information Engineering University,Zhengzhou 450052 ,China |
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| Abstract: | DEM matching is the prerequisite for DEM analysis,management and application.A matching method of DEM without control points based on ICP and simulated annealing genetic algorithm is proposed,which uses using ICP algorithm for rough matching to DEM point clouds which are scanned by lines,and solves the precise parameters by simulated annealing genetic algorithm.Experimental results show that the method can accomplish the matching of multi-source DEM without control points,which has a better efficiency than genetic algorithm and better accuracy than ICP algorithm. |
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