依据点云强度校正的壁画纠正

doi:10.11947/j.AGCS.2015.20140244

测绘学报 ›› 2015, Vol. 44 ›› Issue (5): 541-547.doi: 10.11947/j.AGCS.2015.20140244

依据点云强度校正的壁画纠正

方伟, 黄先锋, 张帆, 李德仁

武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079

收稿日期:2014-05-14 修回日期:2014-09-05 出版日期:2015-05-20 发布日期:2015-05-27
通讯作者: 张帆 E-mail: zhangfan@whu.edu.cn E-mail:zhangfan@whu.edu.cn
作者简介:方伟(1985—),男,博士生,研究方向为摄影测量与遥感、三维激光扫描数据处理。E-mail: wei.fang@whu.edu.cn
基金资助:
国家973计划(2011CB707001;2012CB725300);国家自然科学基金(41001308;41071291);国家科技支撑计划(2014BAK07B04);深圳市战略性新兴产业发展专项资助(JCYJ20120618163005494)

Mural Image Rectification Based on Correction of Laser Point Cloud Intensity

FANG Wei, HUANG Xianfeng, ZHANG Fan, LI Deren

State Key Laboratory of Information Engineering on Survey, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received:2014-05-14 Revised:2014-09-05 Online:2015-05-20 Published:2015-05-27
Supported by:
The National Basic Research Program of China(973 Program)(Nos.2011CB707001;2012CB725303);The National Natural Science Foundation of China(Nos.41001308;41071291);The National Key Technology Research and Development Program of the Ministry of Science and Technology of China(No.2014BAK07B04);Shenzhen Special Funding for the Development of Strategic Emerging Industries(No.JCYJ 20120618163005494)

摘要/Abstract

摘要：

壁画纠正能消除数字壁画影像的变形并赋予其空间参数特性,是壁画数字化保护中的关键步骤之一。激光扫描数据作为壁画影像与三维空间的媒介,在壁画影像的纹理映射和纠正中具有重要的意义。然而,激光点云强度的近距离反常现象给壁画纠正中特征点的提取带来了困难。本文针对基于点云的壁画纠正中强度信息的近距离反常问题,研究了激光成像原理,推导了顾及激光接收系统散焦效应的强度函数,并采集样本数据进行模型参数估计,通过对估计模型和实际采集数据进行比较,生成不受距离和入射角影响的相对反射率,从而有效校正了强度异常的点云数据。试验表明,在壁画影像纠正过程中,该方法能有效解决强度影像提取特征点少且分布不均的问题,效果明显优于通用的数字图像处理方法。

关键词: 激光点云, 强度校正, 散焦效应, 壁画纠正

Abstract:

Image rectification can reduce the distortion of digital mural image and attach rectified image with spatial properties, thus becomes one of key steps in mural image digital protection. As an intermediate data of 2D and 3D, intensity information of laser scanning is significant on texture mapping and rectification of mural images in grottos. However, the unusual phenomenon of laser intensity at near distance makes it very difficult on extracting feature points for image rectification needed. To eliminate the near distance effect on intensity-based mural rectification, the procedure of laser transmission was studied and the intensity function of defocusing effect of laser receiving optics was deduced. By dividing point cloud intensity values with corresponding values of functions with estimated parameters from collected sample data, range and incidence angle invariant relative reflectance was generated, thus unusual intensity of point cloud data was corrected effectively. Experiments demonstrate that this method can effectively solve the problem of feature points in respect of low density and uneven distribution, thus achieve better results than general digital image processing method.

Key words: laser scanning point cloud, intensity correction, defocusing effect, mural image rectification

中图分类号:

P234

方伟, 黄先锋, 张帆, 李德仁. 依据点云强度校正的壁画纠正[J]. 测绘学报, 2015, 44(5): 541-547.

FANG Wei, HUANG Xianfeng, ZHANG Fan, LI Deren. Mural Image Rectification Based on Correction of Laser Point Cloud Intensity[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(5): 541-547.

参考文献

[1] HU Shaoxing, ZHA Hongbin, ZHANG Aiwu. Modeling Method for Large-scale Cultural Heritage Sites and Objects Using Real Geometric Data and Real Texture Data[J]. Journal of System Simulation, 2006, 18(4):951-963.(胡少兴,查红彬,张爱武.大型古文物真三维数字化方法[J]. 系统仿真学报, 2006, 18(4):951-963.)
[2] ZHANG Fan, HUANG Xianfeng, LI Deren. A Review of Registration of Laser Scanner Data and Optical Image[J]. Bulletin of Surveying and Mapping,2008(2):7-10. (张帆,黄先锋,李德仁. 激光扫描与光学影像数据配准的研究进展[J].测绘通报, 2008(2):7-10.)
[3] ZHANG Fan, HUANG Xianfeng, FANG Wei, et al. Non-rigid Registration of Mural Images and Laser Scanning Data Based on the Optimization of the Edges of Interest[J]. Science China Information Sciences, 2013, 56(6): 1-10.
[4] DIAS Paulo, SEQUEIRA Vítor, GONALVES Joao GM, et al. Automatic Registration of Laser Reflectance and Colour Intensity Images for 3D Reconstruction[J]. Robotics and Autonomous Systems, 2002, 39(3): 157-168.
[5] ZHANG Yi, YAN Li. 3D Diffusion Filtering Method of Intensity Noise for Terrestrial Laser Scanning Point Cloud[J]. Acta Geodaetica et Cartographica Sinica, 2013,42(4):568-573. (张毅,闫利. 地面激光点云强度噪声的三维扩散滤波方法[J].测绘学报, 2013,42(4):568-573.)
[6] JELALIAN A. Laser Radar Systems[M]. Boston: Artech House, 1992.
[7] KAASALAINEN S,KUKKO A, LINDROOS T, et al. Brightness Measurements and Correction with Airborne and Terrestrial Laser Scanners[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(2): 528-534.
[8] KAASALAINEN S, JAAKKOLA A, KAASALAINEN M,et al. Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods[J]. Remote Sensing, 2011, 3(10): 2207-2221.
[9] HÖFLE B,PFEIFER N. Correction of Laser Scanning Intensity Data: Data and Model-driven Approaches[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(6): 415-433.
[10] JUTZI B, GROSS H. Normalization of Lidar Intensity Data Based on Range and Surface Incidence Angle[J].International Archives of the Photogrammetry,Remote Sensing and Spatial Information Science 2009(38):213-218.
[11] STELMASZCZYK K, DELL'AGLIO M, CHUDZYNSKI S, et al. Analytical Function for Lidar Geometrical Compression Form-factor Calculations[J]. Applied Optics,2005,44(7): 1323-1331.
[12] BIAVATI G, DONFRANCESCO G D, CAIRO F, et al. Correction Scheme for Close Range Lidar Returns[J]. Applied Optics, 2011, 50(30):5872-5882.
[13] TORRANCE K E,SPARROW E M. Theory for Off-specular Reflection from Roughened Surfaces[J].Journal of the Optical Society of America,1967, 57(9): 1105-1112.
[14] KUKKO A, KAASALAINEN S, LITKEY P. Effect of Incidence Angle on Laser Scanner Intensity and Surface Data[J]. Applied Optics, 2008, 47(7): 986-992.
[15] PESCI A,TEZA G. Effects of Surface Irregularities on Intensity Data from Laser Scanning: an Experimental Approach[J]. Annals of Geophysics, 2008, 51(5-6):839-848.
[16] KAASALAINEN S,KROOKS A, KUKKO A, et al. Radiometric Correction of Terrestrial Laser Scanners with External Reference Targets[J]. Remote Sensing, 2009, 1(3): 144-158.
[17] FANG Wei, HUANG Xianfeng, ZHANG Fan, et al. Intensity Correction of Terrestrial Laser Scanning Data by Estimating Laser Transmission Function[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 942-951.
[18] COREN F,STERZAI P. Radiometric Correction in Laser Scanning[J]. International Journal of Remote Sensing, 2006, 27(15): 3097-3104.
[19] PFEIFER N, HÖFLE B, BRIESE C, et al. Analysis of the Backscattered Energy in Terrestrial Laser Scanning Data[J].International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 2008(37):1045-1052.
[20] SELF S A. Focusing of Spherical Gaussian Beams[J]. Applied Optics,1983,22(5):658-661.

依据点云强度校正的壁画纠正

Mural Image Rectification Based on Correction of Laser Point Cloud Intensity

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 13

编辑推荐

Metrics

本文评价

[1]	方莉娜, 王爽, 赵志远, 付化胜, 陈崇成. 车载激光点云中交通标线自动分类与矢量化[J]. 测绘学报, 2021, 50(9): 1251-1265.
[2]	蒋腾平, 王永君, 张林淇, 梁冲, 孙剑. 融合CNN和MRF的激光点云层次化语义分割方法[J]. 测绘学报, 2021, 50(2): 215-225.
[3]	李彩林, 王志勇, 俞路路, 郭宝云. 最邻近曲面约束的近景光学影像与地面激光点云几何配准[J]. 测绘学报, 2020, 49(8): 1014-1022.
[4]	方莉娜, 卢丽靖, 赵志远, 王昀昀, 陈崇成. 车载激光点云道路边界提取的Snake方法[J]. 测绘学报, 2020, 49(11): 1438-1450.
[5]	方莉娜, 黄志文, 罗海峰, 陈崇成. 车载激光扫描数据中实线型交通标线提取[J]. 测绘学报, 2019, 48(8): 960-974.
[6]	杜守基, 邹峥嵘, 张云生, 何雪, 王竞雪. 融合LiDAR点云与正射影像的建筑物图割优化提取方法[J]. 测绘学报, 2018, 47(4): 519-527.
[7]	陈驰, 杨必胜, 田茂, 李健平, 邹响红, 吴唯同, 宋易恒. 车载MMS激光点云与序列全景影像自动配准方法[J]. 测绘学报, 2018, 47(2): 215-224.
[8]	罗海峰, 方莉娜, 陈崇成, 黄志文. 基于DBN的车载激光点云路侧多目标提取[J]. 测绘学报, 2018, 47(2): 234-246.
[9]	董震, 杨必胜. 车载激光扫描数据中多类目标的层次化提取方法[J]. 测绘学报, 2015, 44(9): 980-987.
[10]	陈驰, 杨必胜, 彭向阳. 低空UAV激光点云和序列影像的自动配准方法[J]. 测绘学报, 2015, 44(5): 518-525.
[11]	李彩林, 郭宝云, 季铮. 多视角三维激光点云全局优化整体配准算法[J]. 测绘学报, 2015, 44(2): 183-189.
[12]	浦石李京伟郭四清. 融合语义特征与GPS位置的地面激光点云拼接方法[J]. 测绘学报, 2014, 43(5): 545-550.
[13]	方莉娜杨必胜. 车载激光扫描的三维道路自动提取方法[J]. 测绘学报, 2013, 42(2): 260-267.