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- 2018
一种仿射不变量支持的准稠密控制点匹配算法
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Abstract:
待配准的两景影像之间存在非均匀形变时，需要采用非刚性模型进行校正，而密集的、均匀分布的控制点是构建非刚性模型的基础，对此提出一种仿射不变量支持的准稠密控制点匹配算法。首先从两景影像提取特征点并进行稀疏匹配，根据稀疏匹配点消除两景影像间的整体偏移；然后以稀疏匹配点作为三角形的顶点，迭代构建特征点间的近邻三角形，并以面积之比作为仿射不变量，据此判断三角形顶点之间是否满足匹配关系，实现匹配点传播，从而获得准稠密的匹配点集；最后采用HJ-Landsat数据与南极地区Landsat 7 ETM+数据进行实验，结果表明，本文方法能够提取均匀分布的准稠密控制点，在提取率等指标方面优于对比方法
| [1] | Mikolajczyk K, Schmid C. Scale & Affine Invariant Interest Point Detectors[J].<em>International Journal of Computer Vision</em>,2004, 60(1):63-86 |
| [2] | Bay H, Ess A, Tuytelaars T, et al. Speeded-Up Robust Features (SURF)[J].<em>Computer Vision and Image Understanding</em>, 2008, 110(3):346-359 |
| [3] | Zitova F J. Image Registration Methods:A Survey[J]. <em>Image and Vision Computing</em>, 2003, 21(11):977-1000 |
| [4] | Heid T, K？？b A. Evaluation of Existing Image Matching Methods for Deriving Glacier Surface Displacements Globally from Optical Satellite Imagery[J].<em>Remote Sensing of Environment</em>, 2012, 118:339-355 |
| [5] | Zagorchev L, Goshtasby A. A Comparative Study of Transformation Functions for Nonrigid Image Registration[J]. <em>IEEE Transactions on Image Processing</em>, 2006, 15(3):529-538 |
| [6] | Lhuillier M, Quan L. Match Propagation for Image-Based Modeling and Rendering[J]. <em>IEEE Transactions on Pattern Analysis and Machine Intelligence</em>, 2002, 24(8):1140-1146 |
| [7] | Zhu Q, Wu B, Tian Y. Propagation Strategies for Stereo Image Matching Based on the Dynamic Triangle Constraint[J]. <em>ISPRS Journal of Photogrammetry and Remote Sensing</em>, 2007, 62(4):295-308 |
| [8] | Lhuillier M, Quan L. A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images[J].<em>IEEE Transactions on Pattern Analysis and Machine Intelligence</em>, 2005, 27(3):418-433 |
| [9] | Tang Li, Wu Chengke, Liu Shigang, et al. Image Dense Stereo Matching by Technique of Region Growing[J].<em>Chinese Journal of Computers</em>, 2004,27(7):936-943(唐丽,吴成柯,刘侍刚,等.基于区域增长的立体像对稠密匹配算法[J].计算机学报,2004,27(7):936-943) |
| [10] | Xu Zhenhui, Zhang Feng, Sun Fengmei, et al. Quasi-Dense Matching by Neighborhood Transfer for Fish-Eye Images[J].<em>Acta Automatica Sinica</em>, 2009,35(9):1159-1167(许振辉,张峰,孙凤梅,等.基于邻域传递的鱼眼图像的准稠密匹配[J].自动化学报,2009,35(9):1159-1167) |
| [11] | Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints[J].<em>International Journal of Computer Vision</em>, 2004, 60(2):91-110 |
| [12] | Yang Huachao, Zhang Shubi, Zhang Qiuzhao. Least Square Matching Methods for Wide Base-Line Stereo Images Based on SIFT Features[J].<em>Acta Geodaetica et Cartographica Sinica</em>, 2010, 39(2):537-543(杨化超,张书毕,张秋昭. 基于SIFT的宽基线立体影像最小二乘匹配方法[J]. 测绘学报, 2010, 39(2):537-543) |
| [13] | Wu Jun. Yao Zexin, Cheng Menmen, et al. Airborne Oblique Stereo Image Dense Matching by Integrating SIFT and SGM Algorithm[J].<em>Journal of Remote Sensing</em>, 2015,19(3):431-442(吴军,姚泽鑫,程门门,等.融合SIFT与SGM的倾斜航空影像密集匹配[J].遥感学报,2015,19(3):431-442) |
| [14] | Li Quanwen, Zhao Weilin, Yang Xiaomei, et al. FAST Algorithm-Based Geometric Accurate Rectification of Large HJ Satellite Image[J].<em>Remote Sensing for Land & Resources</em>, 2014, 26(4):14-22(李全文, 赵卫林, 杨晓梅, 等. 基于FAST测点的大幅宽HJ星图像几何精纠正方法[J]. 国土资源遥感, 2014, 26(4):14-22) |
| [15] | Huang Qingqing, Zhao Hongzhi, Yang Jian, et al. Geometric Rectification and Error Analysis for HJ-1 CCD Image with Wide Coverage Feature[J].<em>Geomatics and Information Science of Wuhan</em> <em>University</em>, 2014,39(12):1425-1429(黄青青,赵鸿志,杨健,等.环境星宽覆盖特征CCD影像几何定位及误差分析[J].武汉大学学报·信息科学版,2014,39(12):1425-1429) |
| [16] | Yao Guobiao, Deng Kazhong, Ai Haibin et al. An Algorithm of Automatic Quasi-dense Matching and Three-dimensional Reconstruction for Oblique Ste-reo Image[J].<em>Geomatics and Information Science of Wuhan University</em>, 2014,39(7):843-849(姚国标,邓喀中,艾海滨,等.倾斜立体影像自动准稠密匹配与三维重建算法[J]. 武汉大学学报·信息科学版,2014,39(7):843-849) |
