Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR
A new approach to classify synthetic aperture radar (SAR) targets based on high range resolution profiles (HRRPs) is presented. Features from each of the target HRRPs are extracted via the nonnegative matrix factorization (NMF) algorithm in time-frequency domain represented by adaptive Gaussian repr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/478971 |
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| author | Xinzheng Zhang Zhouyong Liu Shujun Liu Guojun Li |
| author_facet | Xinzheng Zhang Zhouyong Liu Shujun Liu Guojun Li |
| author_sort | Xinzheng Zhang |
| collection | DOAJ |
| description | A new approach to classify synthetic aperture radar (SAR) targets based on high range resolution profiles (HRRPs) is presented. Features from each of the target HRRPs are extracted via the nonnegative matrix factorization (NMF) algorithm in time-frequency domain represented by adaptive Gaussian representation (AGR). Firstly, SAR target images have been converted into HRRPs. And the time-frequency matrix for each of HRRPs is obtained by using AGR. Secondly, the time-frequency feature vectors are extracted from the time-frequency matrix utilizing NMF. Finally, hidden Markov models (HMMs) are employed to characterize the time-frequency feature vectors corresponding to one target and are used to being the recognizer. To demonstrate the performance of the proposed approach, experiments are performed in the 10-target MSTAR public dataset. The results support the effectiveness of the proposed technique for SAR automatic target recognition (ATR). |
| format | Article |
| id | doaj-art-8eef9b4b56634606bdecb309b2a29c2f |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-8eef9b4b56634606bdecb309b2a29c2f2025-02-03T01:06:14ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/478971478971Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATRXinzheng Zhang0Zhouyong Liu1Shujun Liu2Guojun Li3College of Communication Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Communication Engineering, Chongqing University, Chongqing 400044, ChinaDepartment of Communication Commanding, Chongqing Communication Institute, Chongqing 400035, ChinaA new approach to classify synthetic aperture radar (SAR) targets based on high range resolution profiles (HRRPs) is presented. Features from each of the target HRRPs are extracted via the nonnegative matrix factorization (NMF) algorithm in time-frequency domain represented by adaptive Gaussian representation (AGR). Firstly, SAR target images have been converted into HRRPs. And the time-frequency matrix for each of HRRPs is obtained by using AGR. Secondly, the time-frequency feature vectors are extracted from the time-frequency matrix utilizing NMF. Finally, hidden Markov models (HMMs) are employed to characterize the time-frequency feature vectors corresponding to one target and are used to being the recognizer. To demonstrate the performance of the proposed approach, experiments are performed in the 10-target MSTAR public dataset. The results support the effectiveness of the proposed technique for SAR automatic target recognition (ATR).http://dx.doi.org/10.1155/2015/478971 |
| spellingShingle | Xinzheng Zhang Zhouyong Liu Shujun Liu Guojun Li Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR Journal of Electrical and Computer Engineering |
| title | Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR |
| title_full | Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR |
| title_fullStr | Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR |
| title_full_unstemmed | Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR |
| title_short | Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR |
| title_sort | time frequency feature extraction of hrrp using agr and nmf for sar atr |
| url | http://dx.doi.org/10.1155/2015/478971 |
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