Improved Nonsubsampled Contourlet Transform for Multi-sensor Image Registration
文献类型：SCI/SSCI论文
| 作者 | Wang R. R. ; Ma J. W. ; Huang H. G. ; Shi W. |
| 发表日期 | 2013 |
| 关键词 | automatic registration mutual information model |
| 英文摘要 | Homologous feature point extraction is a key problem in the multi-sensor image registration. In this paper, a new feature point extraction method using nonsubsampled contourlet transform (NSCT) and an adaptive shrink operator (ASO_NSCT) for multi-sensor image registration is proposed. Moreover, this proposed feature matching is different from the traditional feature matching strategies and is performed using a similarity measure computed from neighborhood circles in low-frequency bands. Then, a number of reliable matched couples with even distributions are obtained, which assures the accuracy of the registration. Applications of the proposed algorithm to different optical images as well as optical and synthetic aperture radar images show that, in each case, a large number of accurate matched couples could be identified. Additionally, the RMSE patterns are analyzed and comparisons of the parameters are carried out between the registration models and the actual ground structures, which further demonstrates the effectiveness of the proposed algorithm. |
| 出处 | Photogrammetric Engineering and Remote Sensing |
| 卷 | 79 |
| 期 | 1 |
| 页 | 51-66 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0099-1112 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30195]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang R. R.,Ma J. W.,Huang H. G.,et al. Improved Nonsubsampled Contourlet Transform for Multi-sensor Image Registration. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。