A novel approach for the registration of weak affine images
文献类型：期刊论文
| 作者 | Li, Dong; Zhang, Yunhua
|
| 刊名 | PATTERN RECOGNITION LETTERS
 |
| 出版日期 | 2012 |
| 卷号 | 33期号:12页码:1647-1655 |
| 关键词 | Fast least trimmed squares (Fast-LTS) Image registration Parameter estimation Random sample consensus (RANSAC) Weak affine transformation |
| ISSN号 | 0167-8655 |
| 通讯作者 | Li, D (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, 1 Nanertiao, Beijing 100190, Peoples R China. |
| 中文摘要 | A novel image registration scheme is devised in view of the weak affine transformation, which is a kind of similarity transformation with anisotropic scales or affine transformation without shearing. Two robust algorithms are proposed to retrieve the registration parameters from the error-prone initial correspondences based on the fast least trimmed squares (Fast-LTS) and the random sample consensus (RANSAC). In terms of several criteria, the algorithms are evaluated on three carefully selected datasets from different sensors and the experimental results demonstrate that the proposed scheme and algorithms perform robustly and accurately. Our findings also indicate that the Fast-LTS-based algorithm is more stable and appropriate for image registration than the RANSAC-based algorithm although the speed is slower. (C) 2012 Elsevier B.V. All rights reserved. |
| 英文摘要 | A novel image registration scheme is devised in view of the weak affine transformation, which is a kind of similarity transformation with anisotropic scales or affine transformation without shearing. Two robust algorithms are proposed to retrieve the registration parameters from the error-prone initial correspondences based on the fast least trimmed squares (Fast-LTS) and the random sample consensus (RANSAC). In terms of several criteria, the algorithms are evaluated on three carefully selected datasets from different sensors and the experimental results demonstrate that the proposed scheme and algorithms perform robustly and accurately. Our findings also indicate that the Fast-LTS-based algorithm is more stable and appropriate for image registration than the RANSAC-based algorithm although the speed is slower. (C) 2012 Elsevier B.V. All rights reserved. |
| 学科主题 | 微波遥感 |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| 公开日期 | 2014-12-15 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/3453]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Li, Dong,Zhang, Yunhua. A novel approach for the registration of weak affine images[J]. PATTERN RECOGNITION LETTERS,2012,33(12):1647-1655. |
| APA | Li, Dong,&Zhang, Yunhua.(2012).A novel approach for the registration of weak affine images.PATTERN RECOGNITION LETTERS,33(12),1647-1655. |
| MLA | Li, Dong,et al."A novel approach for the registration of weak affine images".PATTERN RECOGNITION LETTERS 33.12(2012):1647-1655. |
入库方式： OAI收割
来源：国家空间科学中心
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