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| 基于小波变换的近平面影像数字配准方法研究 | |
| 引用本文： | 苏毛弟,晏磊,赵学军,卢宾宾. 基于小波变换的近平面影像数字配准方法研究[J]. 影像技术, 2008, 20(1): 19-23 |
| 作者姓名： | 苏毛弟 晏磊 赵学军 卢宾宾 |
| 作者单位： | 1. 北京大学空间信息集成与3S工程应用实验室,北京,100871;中国矿业大学(北京)机电与信息工程学院,北京,100083 2. 北京大学空间信息集成与3S工程应用实验室,北京,100871 3. 中国矿业大学(北京)机电与信息工程学院,北京,100083 |
| 摘 要： | 本文将小波变换技术与相似度检测算法、直线拟合方法等相结合，用于近平面影像数字配准。首先，对含噪遥感影像进行多尺度小波变换，以提取不同尺度上的广义特征点，并剔除图像噪声；其次，将序贯相似度检测算法和多分辨率分析相结合进行控制点匹配；最后，利用基于最小二乘法的直线拟合，建立配准变换关系。实际遥感影像的相对配准实验验证了方法的有效性。 |
| 关 键 词： | 特征点 小波变换 配准 |
| 文章编号： | 1001-0270（2008）01-0019-05 |
| 收稿时间： | 2007-12-07 |
| 修稿时间： | 2007-12-07 |
Research and Applications of Digital Registration and A Feature Point Based on Wavelet Analysis in Near Plane Image |
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| SU Mao-di,YAN Lei,ZHAO Xue-jun,LU Bin-bin. Research and Applications of Digital Registration and A Feature Point Based on Wavelet Analysis in Near Plane Image[J]. Image Technology, 2008, 20(1): 19-23 | |
| Authors: | SU Mao-di YAN Lei ZHAO Xue-jun LU Bin-bin |
| Affiliation: | SU Mao-di,YAN Lei, ZHAO Xue-jun,LU Bin-bin (1. Beijing Key Lab. of Spatial Information Integration ＆ Applications, PKU, Beijing 100871; 2. Institute of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083) |
| Abstract: | This article aims to an image registration method which combines the wavelet transform technology with the SSDA （Sequential Similarity Detection Algorithms） and least-square method. First, the muhiscale wavelet transform is used in a remote sensing image with noise, to extract generalized feature points in different levels and eliminate noise in the image. Secondly, the SSDA is incorporated with the multi-resolving analysis for the RCPs （Registration Control Points） match. Finally, the search of RCPs can be used to establish the function relationship by the least-square method. Experiment confirmed that the method can validly register the remote sensing image |
| Keywords: | feature point wavelet analysis registration |
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