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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian Wang Yi Su |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China (Jian Wang; Yi Su) |
| Abstract | GPR object detection is always a challenge in most practical applications. The hyperbola feature in B-Scan data is a very important feature for GPR object detection. In this paper, a novel method based on cross correlation between adjacent A-scans is proposed to detect reflection hyperbola. The method includes four steps. B-scan data is firstly preprocessed to suppress clutters. Then, the reflection hyperbola is extracted based on cross correlation. An approach of feedback is presented to fit the extracted hyperbola. At last, Hough transform is adopted to determine whether there is an object or not. The proposed method is tested by both simulated and field data. |
| Starting Page | 363 |
| Ending Page | 366 |
| File Size | 329891 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424496419 |
| e-ISBN | 9781424496440 |
| DOI | 10.1109/MRRS.2011.6053674 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-25 |
| Publisher Place | Ukraine |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object Detection Ground penetrating radar Correlation Delay effects Fitting Object detection Transforms GPR Hough Transform Hyperbola Fitting Reflection Cross Correlation |
| Content Type | Text |
| Resource Type | Article |
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