Feature Extraction and Selection of Full Polarization HRRP in Target Recognition Process of Maritime Surveillance Radar

FAN Xueman; HU Shengliang; HE Jingbo

doi:10.11999/JEIT160722

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3261-3268

FAN Xueman, HU Shengliang, HE Jingbo. Feature Extraction and Selection of Full Polarization HRRP in Target Recognition Process of Maritime Surveillance Radar[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3261-3268. doi: 10.11999/JEIT160722

Citation:

FAN Xueman, HU Shengliang, HE Jingbo. Feature Extraction and Selection of Full Polarization HRRP in Target Recognition Process of Maritime Surveillance Radar[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3261-3268. doi: 10.11999/JEIT160722

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Feature Extraction and Selection of Full Polarization HRRP in Target Recognition Process of Maritime Surveillance Radar

doi: 10.11999/JEIT160722

Funds:

The National Natural Science Foundation of China (61401493), The National Ministries Foundation of China (9140A01010415JB11002)

Received Date: 2016-07-07
Rev Recd Date: 2016-11-01
Publish Date: 2016-12-19

Abstract

Abstract

Making full and effective use of target polarization information from High Resolution Range Profile (HRRP) is a hot issue for improving the recognition performance of maritime surveillance radar. A HRRP database with seven maritime targets classes from various aspect angles is established, on which thirty-nine features from four categories are defined. A novel feature selection method based on the Normalized Mutual Information (NMI) and Simulated Annealing (SA) algorithm is presented, named as NMI-SA. The effectiveness of the NMI-SA is proved by comparison with three other methods using HRRP dataset and eight from UCI machine learning repository. Finally, the NMI-SA is applied to the HRRP dataset to find twenty-five high discriminant and low redundancy features.
- Fully polarized HRRP,
- Feature extraction,
- Feature selection,
- Mutual information,
- Simulated annealing

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References(23)

References

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