The Appropriate Parameter Retrieval Algorithm for Feature-Based SAR Image Registration
文献类型：会议论文
| 作者 | Li, Dong; Zhang, Yunhua
|
| 出版日期 | 2012 |
| 会议名称 | Conference on SAR Image Analysis, Modeling and Techniques XII |
| 会议日期 | SEP 26-27, 2012 |
| 会议地点 | Edinburgh, SCOTLAND |
| 关键词 | Extended fast least trimmed squares (EF-LTS) feature-based image registration parameter estimation random sample consensus (RANSAC) synthetic aperture radar (SAR) |
| 页码 | 85360Y |
| 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 | This paper is dedicated to investigate the appropriate parameter retrieval algorithm for feature-based synthetic aperture radar (SAR) image registration. The widely-used random sample consensus (RANSAC) is observed to be instable for its inappropriate estimation strategy and loss function for SAR images. In order to enable a stable and robust registration for SAR, an extended fast least trimmed squares (EF-LTS) is proposed which conducts the registration by least squares fitting at least half of the correspondences to minimize the squared polynomial residuals instead of fitting the minimal sampling set to maximize the cardinality of the consensus set as RANSAC. Experiment on interferometric SAR image pair demonstrates that the proposed algorithm behaves very stably and the obtained registration is averagely better than that by RANSAC in terms of cross-correlation and spectral SNR. By this algorithm, a stable estimation for any kind of 2D polynomial warp model with high robustness and accuracy can be efficiently achieved. Thus EF-LTS is more appropriate for SAR image registration. |
| 英文摘要 | This paper is dedicated to investigate the appropriate parameter retrieval algorithm for feature-based synthetic aperture radar (SAR) image registration. The widely-used random sample consensus (RANSAC) is observed to be instable for its inappropriate estimation strategy and loss function for SAR images. In order to enable a stable and robust registration for SAR, an extended fast least trimmed squares (EF-LTS) is proposed which conducts the registration by least squares fitting at least half of the correspondences to minimize the squared polynomial residuals instead of fitting the minimal sampling set to maximize the cardinality of the consensus set as RANSAC. Experiment on interferometric SAR image pair demonstrates that the proposed algorithm behaves very stably and the obtained registration is averagely better than that by RANSAC in terms of cross-correlation and spectral SNR. By this algorithm, a stable estimation for any kind of 2D polynomial warp model with high robustness and accuracy can be efficiently achieved. Thus EF-LTS is more appropriate for SAR image registration. |
| 收录类别 | EI ; CPCI |
| 会议主办者 | SPIE, SELEX GALILEO, THALES |
| 会议录 | SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII
 |
| 会议录出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
| 学科主题 | 微波遥感 |
| 会议录出版地 | BELLINGHAM |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-0-8194-9276-0 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/3355]  |
| 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. The Appropriate Parameter Retrieval Algorithm for Feature-Based SAR Image Registration[C]. 见:Conference on SAR Image Analysis, Modeling and Techniques XII. Edinburgh, SCOTLAND. SEP 26-27, 2012. |
入库方式： OAI收割
来源：国家空间科学中心
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