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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Yaojun Pan Quan Zhao Chunhui Liu Hui Zhang Jianghua |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Autom., Northwestern Polytech. Univ., Xi'an, China (Zhao Chunhui; Liu Hui) || Electron. Eng. Res. Inst., Xi'an, China (Li Yaojun; Pan Quan; Zhang Jianghua) |
| Abstract | For position parameter estimation of aircraft, this dissertation presents a SVD-SURF-based wide-baseline robust scene matching algorithm. Firstly, we build SURF scale space based on the singular value features of real-time image and reference image. By using fast Hessian matrix maximum values, 64-dimensional SURF feature descriptors of aerial images were calculated. Then, based on the trace of the Hessian matrix, we complete feature points matching. Finally, by using RANSAC algorithm, we removed the outliers for accurate position estimation. Experiments with two real aerial image sequences show that this algorithm is robust to image rotation, scale transformation and noise. |
| Starting Page | 5005 |
| Ending Page | 5010 |
| File Size | 408678 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789881563835 |
| ISSN | 19341768 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | TCCT, CAA |
| Subject Keyword | SVD RANSAC SURF Automation Parameter estimation Abstracts Hessian matrix Aerospace electronics Scene matching Educational institutions Robustness Electronic mail |
| Content Type | Text |
| Resource Type | Article |
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