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基于局部不变特征的遥感图像自动配准方法 被引量：1

Automatic Remote Sensed Image Registration with Local Invariant Features
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摘要 提出了一种基于图像局部不变特征的遥感图像全自动配准算法.首先在图像二维平面空间和尺度空间中同时检测局部极值作为特征点,并在特征点邻域提取局部不变特征描述子--尺度不变特征变换(SIFT).然后运用稳健的随机采样一致性(RANSAC)算法将匹配点集划分为内点和外点,在内点域上精确地估计出图像变换模型.实验利用仿真数据测试了SIFT特征的可重复性和可匹配性,利用卫星图像验证了此自动配准算法的有效性和稳健性.
作者 雷琳 粟毅
机构地区 国防科学技术大学电子科学与工程学院
出处 《计算机研究与发展》 EI CSCD 北大核心 2007年第z2期366-370,共5页 Journal of Computer Research and Development
关键词 尺度不变特征变换 内点外点 随机采样一致性 自动配准 遥感图像
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TP75 [自动化与计算机技术—检测技术与自动化装置]
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参考文献7

  • 1[1]Barbara Zitova,Jan Flusser.Image registration methods:A survey.Image and Vision Computing,2003,21:977-1000
  • 2王东峰,张丽飞,刘小军,邹谋炎.基于广义特征点匹配的全自动图像配准[J].电子与信息学报,2005,27(7):1013-1016. 被引量：9
  • 3[3]D G Lowe.Distinctive image features from scale-invariant keypoints.International Journal of Computer Vision,2004,60(2):91-110
  • 4陈付幸,王润生.基于预检验的快速随机抽样一致性算法[J].软件学报,2005,16(8):1431-1437. 被引量：106
  • 5[5]M A Fishler,R C Bolles.Random sample concensus:A paradigm for model fitting with applications to image analysis and automated cartography.Communications of ACM,1981,24(6):381-395
  • 6赵向阳,杜利民.一种全自动稳健的图像拼接融合算法[J].中国图象图形学报（A辑）,2004,9(4):417-422. 被引量：131
  • 7[7]Krystian Mikolajczyk,Cordelia Schmid.A performance evaluation of local descriptors.IEEE Trans on Pattern Analysis and Machine Intelligence,2005,27(10):1615-1621

二级参考文献26

  • 1Richard Szetiski. Video mosaics for virtual environments [J].IEEE Computer Graphics and Applications, 1996,16 (2):22-33.
  • 2Pallefeys M. Self-Calibration and Metric 3D Reconstruction from Uncalibrated Image Sequences [D]. Belgium: K. U,Leuven,1998.
  • 3Peter J Burg, Edward H Adelson. A multiresolution spline withapplication to image mosaics [J]. ACM Transactions on Graphics, 1988,7.(4) 1217-236.
  • 4Richard Hartley, Andrew Zisserman. Multiple View Geometry in Computer Vision[M]. Cambridge: The Press Syndicate of The University of Cambridge,UK,2000.
  • 5Fisehler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography [ J ]. Communication Association Machine, 1981,24(6) :381-395.
  • 6Press W H, Teukolsky S A, Vetterling W T, et al. Nuericla Recipes in C[M]. Cambridge: Cambridge University Press, UK,1992:681-688.
  • 7Richard Szeliski, Heuttg-Yeung Shum. Creating full view pactoramic image mosaics and texture-mapped models [J].SIGGRAPH 97 Conference Proceedings, 1997.3(1):251-258.
  • 8Brandt S. Maximum likelihood robust regression with known and unknown residual models. In: Proc. of the ECCV 2002. 2002.97-102.
  • 9Murray PTD. The development and comparison of robust methods for estimating the fundamental matrix. Int'l Journal of Computer Vision, 1996. 1-33.
  • 10Zhang ZY. Determining the epipolar geometry and its uncertainty: A review. Int'l Journal of Computer Vision, 1998,27(2):161-195.

共引文献236

同被引文献12

  • 1Ojala T,Pietik(a)inen M,and M(a)enp(a)(a) T.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
  • 2Huang Chun-rong,Chen Chu-song,and Chung Pau-choo.Contrast context histogram-an efficient discriminating local descriptor for object recognition and image matching[J].Pattern Recognition,2008,41(10):3071-3077.
  • 3Bay H,Tuytelaars T,and Van Gool L.SURF:speeded up robust features[C].Proceedings of the 9th European Conference on Computer Vision,Graz,Austria,2006,404-417.
  • 4Turcot P and Lowe D G.Better matching with fewer features:the selection of useful features in large database recognition problems[C].ICCV Workshop on Emergent Issues in Large Amounts of Visual Data,Kyoto,Japan,2009:2109-2116.
  • 5Wang Jian-gang,Wang Hee-lin,Ye Myint,and Yau Wei-yun.Real-time gender recognition with unaligned face images[C].Proceedings of the 5th IEEE Conference on Industrial Electronics and Applications,Taichung,2010:376-380.
  • 6Bay H,Ess A,Tuytelaars T,and Van Gool L.Speeded-Up Robust Features (SURF)[J].International Journal on Computer Vision and Image Understanding,2008,110(3):346-359.
  • 7Lowe D.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
  • 8Ke Y and Sukthankar R.PCA-SIFT:a more distinctive representation for local inage descriptors[C].IEEE Computer Society Conference on Computer Vision and Pattern Recognition,Hilton Head,2004,2:506-513.
  • 9Mikolajczyk K and Schmid C.A performance evaluation of local descriptors[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(10):1615-1630.
  • 10刘萍萍,赵宏伟,臧雪柏,王慧.移动机器人定位图像匹配的快速局部特征算法[J].仪器仪表学报,2009,30(8):1714-1719. 被引量：15

引证文献1

二级引证文献12

计算机研究与发展
2007年 第z2期

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