机载激光雷达点云辅助的镶嵌线自动选择

doi:10.13474/j.cnki.11-2246.2020.0255

测绘通报 ›› 2020, Vol. 0 ›› Issue (8): 92-95,116.doi: 10.13474/j.cnki.11-2246.2020.0255

机载激光雷达点云辅助的镶嵌线自动选择

吏军平¹, 丁亚洲¹, 冯发杰¹, 蔡平², 刘欣怡²

1. 湖北省电力勘测设计院有限公司, 湖北武汉 430040;
2. 武汉大学遥感信息工程学院, 湖北武汉 430079

收稿日期:2019-11-20 修回日期:2020-01-06 出版日期:2020-08-25 发布日期:2020-09-01
通讯作者: 刘欣怡。E-mail:liuxy0319@whu.edu.cn E-mail:liuxy0319@whu.edu.cn
作者简介:吏军平(1981-),男,高级工程师,主要从事电力工程勘测工作。E-mail:59103033@qq.com
基金资助:
国家自然科学基金（41871368）

Automatic seamline selection assisted by airborne LiDAR

LI Junping¹, DING Yazhou¹, FENG Fajie¹, CAI Ping², LIU Xinyi²

1. Power China Hubei Electric Engineering Co., Ltd., Wuhan 430040, China;
2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received:2019-11-20 Revised:2020-01-06 Online:2020-08-25 Published:2020-09-01

摘要/Abstract

摘要： 本文提出了一种基于激光雷达点云辅助的正射影像镶嵌线自动选取方法。首先，利用配准后的激光雷达点云生成数字表面模型和数字高程模型，以重叠区域影像之间的相似度和梯度差异构建代价矩阵；然后，将数字表面模型与数字高程模型相减得到差值图表示地物真实的高程信息，利用自适应阈值分割将差值图划分为不同的区域，并赋予不同的惩罚系数；最后，以代价最小为标准，基于Dijkstra算法得到最终的镶嵌线。本文方法生成的镶嵌线能成功地绕开大多数障碍地物，能够满足影像拼接应用的需求。

关键词: LiDAR点云, 数字表面模型, 数字高程模型, 差值图, 影像镶嵌, 阈值分割

Abstract: An automatic orthophoto seamline selection method assisted by LiDAR is proposed in this paper. The LiDAR point cloud is used to generate DSM and DEM, the difference between which is used to obtain the difference map to represent the true height of the object. The threshold is adaptively set to divide the difference map into different regions, and different weights are given to guide the automatic selection of the seamline based on Dijkstra algorithm. The experimental results demonstrate that the proposed method is robust to the selection of parameters and the final seamline can successfully bypass the obstacles.

Key words: LiDAR, DSM, DEM, difference map, image mosaic, threshold segmentation

中图分类号:

P237

吏军平, 丁亚洲, 冯发杰, 蔡平, 刘欣怡. 机载激光雷达点云辅助的镶嵌线自动选择[J]. 测绘通报, 2020, 0(8): 92-95,116.

LI Junping, DING Yazhou, FENG Fajie, CAI Ping, LIU Xinyi. Automatic seamline selection assisted by airborne LiDAR[J]. Bulletin of Surveying and Mapping, 2020, 0(8): 92-95,116.

参考文献

[1] CHON J, KIM H, LIN C S. Seam-line determination for image mosaicking:a technique minimizing the maximum local mismatch and the global cost[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(1):86-92.
[2] TIAN Y M, SUN A F, WANG D. Seam-line determination via minimal connected area searching and minimum spanning tree for UAV image mosaicking[J]. International Journal of Remote Sensing, 2018, 39(15-16):4980-4994.
[3] DONG Q, LIU J H. Seam-line determination based on PKGC segmentation for remote sensing image mosaicking[J]. Sensors, 2017, 17(8):1721.
[4] LI L, YAO J, XIE R P, et al. Edge-enhanced optimal seamline detection for orthoimage mosaicking[J]. IEEE Geoscience & Remote Sensing Letters, 2018, 15(5):764-768.
[5] PAN J, WANG M, LI J L, et al. Region change rate-driven seamline determination method[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 105:141-154.
[6] WANG M, YUAN S G, PAN J, et al. Seamline determina-tion for high resolution orthoimage mosaicking using watershed segmentation[J]. Photogrammetric Engineering & Remote Sensing, 2016, 82(2):121-133.
[7] CHON J, KIM H. Determination of the optimal seam-lines in image mosaicking with the dynamic programming (DP) on the converted cost space[C]//Proceedings of International Conference on Artificial Intelligence and Soft Computing. Berlin:Springer, 2006:750-757.
[8] ZHENG M T, XIONG X D, ZHU J F. A novel orthoimage mosaic method using a weighted A* algorithm-implementation and evaluation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 138:30-46.
[9] WANG D L, WAN Y C, XIAO J H, et al. Aerial image mosaicking with the aid of vector roads[J]. Photogrammetric Engineering and Remote Sensing, 2015, 78(11):1141-1150.
[10] SAITO S, ARAI R, AOKI Y. Seam-line determination based on semantic segmentation for aerial image mosaicking[J]. IEEE Access, 2015, 3:2847-2856.
[11] MA H C, SUN J. Intelligent optimization of seam-line finding for orthophoto mosaicking with LiDAR point clouds[J]. Journal of Zhejiang University:Science C, 2011, 12(5):417-429.
[12] 陈松, 周平, 李显巨, 等. 基于Voronoi图的正射影像镶嵌网络生成与优化方法[J]. 测绘通报, 2019(6):57-60,84.
[13] 袁修孝, 段梦梦, 曹金山. 正射影像镶嵌线自动搜索的视差图算法[J]. 测绘学报, 2015, 44(8):877-883.
[14] ROTTENSTEINER F, SOHN G, JUNG J. The ISPRS benchmark on urban object classification and 3D building reconstruction[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012, 1-3:293-298.
[15] LI L, YAO J, LIU Y H, et al. Optimal seam-line detection for orthoimage mosaicking by combining deep convolutional neural network and graph cuts[J]. Remote Sensing, 2017, 9(7):701.
[16] YAN Li. Global Fine Registration of Point Cloud in LiDAR SLAM Based on Pose Graph[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(2):26-35. doi:10.11947/j.JGGS.2020.0203.

机载激光雷达点云辅助的镶嵌线自动选择

Automatic seamline selection assisted by airborne LiDAR

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