دورية أكاديمية
Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis
| العنوان: | Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis |
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| المؤلفون: | Lihong Qiao, Yao Qin, Xiaozhen Ren, Qifu Wang |
| المصدر: | Sensors, Vol 15, Iss 12, Pp 30340-30350 (2015) |
| بيانات النشر: | MDPI AG, 2015. |
| سنة النشر: | 2015 |
| المجموعة: | LCC:Chemical technology |
| مصطلحات موضوعية: | reflection hyperbola, GPR, multiresolution monogenic signal analysis, amplitude component, Hough transform, Chemical technology, TP1-1185 |
| الوصف: | It is necessary to detect the target reflections in ground penetrating radar (GPR) images, so that surface metal targets can be identified successfully. In order to accurately locate buried metal objects, a novel method called the Multiresolution Monogenic Signal Analysis (MMSA) system is applied in ground penetrating radar (GPR) images. This process includes four steps. First the image is decomposed by the MMSA to extract the amplitude component of the B-scan image. The amplitude component enhances the target reflection and suppresses the direct wave and reflective wave to a large extent. Then we use the region of interest extraction method to locate the genuine target reflections from spurious reflections by calculating the normalized variance of the amplitude component. To find the apexes of the targets, a Hough transform is used in the restricted area. Finally, we estimate the horizontal and vertical position of the target. In terms of buried object detection, the proposed system exhibits promising performance, as shown in the experimental results. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1424-8220 15122980 |
| Relation: | http://www.mdpi.com/1424-8220/15/12/29801; https://doaj.org/toc/1424-8220 |
| DOI: | 10.3390/s151229801 |
| URL الوصول: | https://doaj.org/article/973db1e679084bfeb65f56e421fc4fe6 |
| رقم الأكسشن: | edsdoj.973db1e679084bfeb65f56e421fc4fe6 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14248220 15122980 |
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| DOI: | 10.3390/s151229801 |