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- 2016
基于非固定初始面元的无人机影像点云优化算法
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Abstract:
获取平台的不稳定性容易导致无人机影像的几何变形增大。如何高精度匹配这类影像是当前摄影测量与遥感领域的研究热点之一。针对这个问题，提出基于非固定初始面元的无人机点云优化算法，采用差分代替微分计算地物表面局部正切平面的近似法向量，以此为初值建立初始物方面元进行匹配计算，并用两组数据进行实验验证。结果表明，基于非固定初始面元的无人机影像点云优化算法改进了基于物方面元的最小二乘匹配方法，优于基于面元的多视立体匹配（patch-based multi-view stereo matching and reconstruction，PMVS）中的点云优化方法，提高了点云优化的效率和精度
| [1] | Zhang Jianqing, Pan Li, Wang Shugen. The Photogrammetry[M]. Wuhan: Wuhan University Press, 2003 (张剑清, 潘励, 王树根. 摄影测量学[M]. 武汉大学出版社, 2003) |
| [2] | Lin Zongjian, Li Deren, Xu Yanying. General Review on the New Progress of Earth Observations[J]. <em>Science of Surveying and Mapping</em>, 2011, 36(4): 5-8(林宗坚, 李德仁, 胥燕婴. 对地观测技术最新进展评述[J]. 测绘科学, 2011, 36(4): 5-8) |
| [3] | Lin Zongjian. UAV Borne Low Altitude Photogrammetry System[J]. <em>Science of Surveying and Mapping</em>, 2011, 36(1): 5-9(林宗坚. UAV低空航测技术研究[J]. 测绘科学, 2011, 36(1): 5-9) |
| [4] | Furukawa Y, Ponce J. Accurate, Dense, and Robust Multiview Stereopsis[J]. <em>Pattern Analysis and Machine Intelligence</em>, <em>IEEE Transactions on</em>, 2010, 32(8): 1 362-1 376 |
| [5] | Ackermann F. High Precision Digital Image Correlation[C]. 39th Photogrammetry Week, Stuttgart, Germany, 1983 |
| [6] | Zhang Zuxun, Zhang Jianqing, Hu Xiangyun. Semiautomatic Building Extraction by Least Squares Matching Based on GeoMetrical Constraints in Object Space [J]. <em>Geomatics and Information Science of Wuhan University</em>, 2001, 26(4): 290-295(张祖勋, 张剑清,胡翔云. 基于物方空间几何约束最小二乘匹配的建筑物半自动提取方法[J]. 武汉大学学报\5信息科学版, 2001, 26(4): 290-295) |
| [7] | Lin Xiangguo, Zhang Jixian, Li Haitao, et al. Semi-automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by a T-shaped Template Matching[J]. <em>Geomatics and Information Science of Wuhan University</em>, 2009, 34(3): 293-296 (林祥国, 张继贤, 李海涛, 等. 基于 T 型模板匹配半自动提取高分辨率遥感影像带状道路[J]. 武汉大学学报\5信息科学版, 2009, 34(3): 293-296) |
| [8] | Baltsavias E P. Multiphoto Geometrically Constrained Matching[D]. Zurich: Institute of Geodesy and Photogrammetry, ETH, 1991 |
| [9] | Zhang Guo, Chen Tan, Pan Hongbo,et al. Patch-based Least Squares Image Matching Based on Rational Polynomial Coefficients Model[J]. <em>Acta Geodaetica et Cartographica Sinica</em>, 2010, 39( 3): 592-597(张过, 陈钽, 潘红播,等. 基于有理多项式系数模型的物方面元最小二乘匹配[J]. 测绘学报, 2011, 40(5): 592-597) |
| [10] | Mathematics Department of Tongji University. Higher Mathematics[M]. 6th ed. Beijing: Higher Education Press, 2007(同济大学数学系. 高等数学[M]. 6版. 北京: 高等教育出版社, 2007) |
| [11] | Liang T,Heipke C. Automatic Relative Orientation of Aerial Images[J]. <em>Photogrammetric Engineering and Remote Sensing</em>, 1996, 62(1): 47-55 |
| [12] | Jiang Wanshou. Multiple Aerial Image Matching and Automatic Building Detection [D]. Wuhan: Wuhan University, 2004 (江万寿. 航空影像多视匹配与规则建筑物自动提取方法与研究[D]. 武汉: 武汉大学, 2004) |
| [13] | Nelder J A, Mead R. A Simplex Method for Function Minimization[J]. <em>The Computer Journal</em>, 1965, 7(4): 308-313 |
| [14] | Lin Zongjian, Xuan Wenling, Wang Yan. A Novel Method for High Resolution Image Positioning[J]. <em>Geomatics and Information Science of Wuhan University</em>, 2004, 29(4): 363-366 ( 林宗坚, 宣文玲, 王艳. 高分辨率影像定位的一种新方法[J]. 武汉大学学报. 信息科学版, 2004, 29(4): 363-366) |
| [15] | Wu J, Chang C, Wang C. Least Squares Image Matching and Its Accuracy Improvements[J]. <em>Journal of Photogrammetry and Remote Sensing</em>, 2007, 12(3): 217-224 |
| [16] | Scharstein D, Szeliski R. A Taxonomy and Evaluation of Dense Two-frame Stereo Correspondence Algorithms[J]. <em>International Journal of Computer Vision</em>, 2002, 47(1-3): 7-42 |
| [17] | Seitz S M,Curless B, Diebel J, et al. A Comparison and Evaluation of Multi-view Stereo Reconstruction Algorithms[C]. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, USA, 2006 |
| [18] | Rosenholm D. Multi-point Matching Using the Least Squares Technique for Evaluation of Three-dimensional Models[J]. <em>Photogrammetric Engineering and Remote Sensing</em>, 1987, 53(6): 621-626 |
| [19] | Gruen A, Akca D. Least Squares 3D Surface and Curve Matching[J]. <em>ISPRS Journal of Photogrammetry and Remote Sensing</em>, 2005, 59(3): 151-174 |
