|
|||||
|
|
| 利用Fourier-Mellin变换的遥感图像自动配准 | |
| 引用本文： | 林卉,梁亮,杜培军,孙华生.利用Fourier-Mellin变换的遥感图像自动配准[J].武汉大学学报(信息科学版),2012,37(6):649-652. |
| 作者姓名： | 林卉 梁亮 杜培军 孙华生 |
| 作者单位： | 1. 中国矿业大学环境与测绘学院,徐州市三环南路221116／徐州师范大学测绘学院,徐州市上海路101号221116 2. 徐州师范大学测绘学院,徐州市上海路101号,221116 3. 中国矿业大学环境与测绘学院,徐州市三环南路,221116 4. 辽宁工程技术大学测绘与地理科学学院,阜新市中华路47号,123000 |
| 基金项目： | 国家自然科学基金资助项目，江苏省高校自然科学基金资助项目，河南理工大学矿山空间信息技术国家测绘地理信息局重点实验室开放基金资助项目，江苏省“青蓝工程”资助项目 |
| 摘 要： | 提出了一种利用Fourier-Mellin变换的遥感图像配准方法。首先,进行Fourier变换求取频谱能量值并进行高通滤波,将滤波后的能量转换成对数极坐标,通过计算互功率谱,运用相位相关技术得到比例系数和旋转角,两幅图像按照得到的参数进行旋转缩放变换得到变换图像;然后,进行相位相关运算得到平移量,作平移变换;最终叠加显示,可以得到配准图像。实验结果表明,该算法具有很好的有效性和可靠性。 |
| 关 键 词： | Fourier-Mellin变换 对数极坐标变换 高通滤波 互功率谱 相位相关 |
Image Registration Based on Fourier-Mellin Transform |
|
| LIN Hui,LIANG Liang,DU Peijun,SUN Huasheng.Image Registration Based on Fourier-Mellin Transform[J].Geomatics and Information Science of Wuhan University,2012,37(6):649-652. | |
| Authors: | LIN Hui LIANG Liang DU Peijun SUN Huasheng |
| Institution: | 1 School of Environment Science and Spatial Informatics,China University of Mining and Technology, South Sanhuan Road,Xuzhou 221116,China)(2 School of Geodesy and Geomatics,Xuzhou Normal University,Xuzhou 221116,China)(3 College of Geomatics,Liaoning Technical University,47 Zhonghua Road,Fuxin 123000,China) |
| Abstract: | The purpose of image registration is to remove inconsistencies in geometry between the matched registration image and the reference image,including translation,rotation and scaling transform,which is the necessary premise for image contrast,data fusion,transform analysis and target recognition.A new kind of remote sensing image registration,which is called Fourier-Mellin transform method is put forward.Firstly,Fourier transform is performed to get frequency spectrum power for the reference image and the matched image respectively.Next,high-pass filtering is conducted with regard to their energy spectrum.Then,energy after filtering is converted into log-polar coordinate formation.In the case,mutual power spectrum can be computed adopting phase correlation technique to obtain their rotation angle and scale factor correspondingly.Lastly,transform image may be gotten by these parameters.And again,for reference image,high-pass filtering is performed to reduce background noise and frequency aliasing interference in the transformation process.Then,phase correlation calculation may achieve translation value,another transform image can be gotten through translation transform.Finally,registration image may gain by the two images’ superposition.The experimental results show that the algorithm is efficiency and reliability. |
| Keywords: | Fourier-Mellin transform log-polar transform high-pass filtering mutual pow ctrum phase correlation |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |