[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

弹箭与制导学报 >

2021 , Vol. 41 >Issue 1: 120 - 123

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.01.027

高旋掠飞弹载激光雷达稀疏点云插值算法

  • 蒋罕寒 1 ,
  • 郭锐 1 ,
  • 武军安 1 ,
  • 赵旭 2
展开
  • 1 南京理工大学智能弹药技术国防重点学科实验室,南京 210094
  • 2 北京信息科技大学高动态导航技术北京市重点实验室,北京 100101

蒋罕寒(1995—),男,安徽合肥人,硕士研究生,研究方向:激光探测。

收稿日期: 2020-05-12

  网络出版日期: 2025-02-11

基金资助

装备重点预研(301070201)

收起

A Sparse Point Cloud Interpolation Algorithm for the Hedgehopping Munition with High Rotational Speed Carrying Laser Radar

  • JIANG Hanhan 1 ,
  • GUO Rui 1 ,
  • WU Junan 1 ,
  • ZHAO Xu 2
Expand
  • 1 ZNDY Ministerial Key Laboratory,Nanjing University of Science and Technology,Nanjing 210094,China
  • 2 Beijing Key Laboratory of High Dynamic Navigation Technology,Beijing Information Science and Technology University,Beijing 100101,China

Received date: 2020-05-12

  Online published: 2025-02-11

Fold

摘要

为解决掠飞弹载激光雷达点云数据稀疏的问题,提出一种区分边缘点与非边缘点的分类插值重构算法。通过待插值点邻域点集的高度差对待插值点分类;对边缘点采用改进的最近邻插值算法;对非边缘点采用邻域点集反距离加权插值算法。仿真结果表明新算法能有效保留距离像的边缘信息,为后续距离像的目标分割提供技术支持。

关键词： 高旋掠飞弹药; 稀疏点云; 最近邻; 反距离加权求和

本文引用格式

蒋罕寒 , 郭锐 , 武军安 , 赵旭 . 高旋掠飞弹载激光雷达稀疏点云插值算法[J]. 弹箭与制导学报, 2021 , 41(1) : 120 -123 . DOI: 10.15892/j.cnki.djzdxb.2021.01.027

Abstract

In order to solve the problem of sparse point cloud data, a classification interpolation reconstruction algorithm is proposed by distinguishing edge points and non-edge points.First, the interpolation points are classified by the height difference of the neighborhood points set of the interpolation points.The improved nearest neighbor interpolation algorithm is used for edge points;the inverse distance weighted interpolation algorithm of neighborhood point set is used for non-edge points.The simulation shows that the new algorithm can effectively save the edge information of the range image so as to provide technical support for the target segmentation of the subsequent range image.

Key words： hedgehopping munitions with high rotational speed; sparse point cloud; nearest neighbor; inverse distance weighted sum

[an error occurred while processing this directive]

参考文献

原文顺序 | 文献年度倒序 | 文中引用次数倒序
[1]
罗立彦. 图像插值与离散曲面去噪[D]. 杭州: 浙江大学, 2006.

[2]
徐巍, 孙志鹏, 徐朋, 等. 基于LIDAR点云数据插值方法研究[J]. 工程地球物理学报, 2012, 9(3):365-370.

[3]
李忠, 张德强, 张进德, 等. 基于稀疏点的三维模拟插值算法[J]. 重庆工学院学报(自然科学版), 2007, 21(6):15-18.

[4]
缪君, 储珺, 张桂梅, 等. 基于稀疏点云的多平面场景稠密重建[J]. 自动化学报, 2015, 41(4):813-822.

[5]
刁鑫鹏, 吴侃. 基于Kriging算法与曲面拟合的三维激光扫描点云数据插值研究[J]. 大地测量与地球动力学, 2012, 32(1):110-113.

[6]
焦嵩鸣, 武晓凯, 郑晓坤, 等. 基于距离反比插值的激光雷达点云贪婪三角网构建及应用[J]. 激光与光电子学进展, 2019, 56(21):230-237.

[7]
杨秋, 张群, 王敏, 等. 稀疏场景目标的距离像峰值聚类分割成像方法[J]. 测绘学报, 2015(8):900-908.

DOI

[8]
武军安, 郭锐, 刘荣忠, 等. 末敏弹线阵激光雷达对地面装甲目标的提取方法[J]. 红外与激光工程, 2019, 48(3):132-139.

Options
文章导航

/

〈 〉

[an error occurred while processing this directive]