Sparse ISAR Imaging Exploiting Dictionary Learning

Changyu HU; Ling WANG; Dongqiang ZHU

doi:10.11999/JEIT180747

Volume 41 Issue 7

Jul. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(7): 1735-1742

Changyu HU, Ling WANG, Dongqiang ZHU. Sparse ISAR Imaging Exploiting Dictionary Learning[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1735-1742. doi: 10.11999/JEIT180747

Citation:

Changyu HU, Ling WANG, Dongqiang ZHU. Sparse ISAR Imaging Exploiting Dictionary Learning[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1735-1742. doi: 10.11999/JEIT180747

Changyu HU, Ling WANG, Dongqiang ZHU. Sparse ISAR Imaging Exploiting Dictionary Learning[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1735-1742. doi: 10.11999/JEIT180747

Citation:

Changyu HU, Ling WANG, Dongqiang ZHU. Sparse ISAR Imaging Exploiting Dictionary Learning[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1735-1742. doi: 10.11999/JEIT180747

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Sparse ISAR Imaging Exploiting Dictionary Learning

doi: 10.11999/JEIT180747

Key Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Funds: The National Natural Science Foundation of China (61871217), The Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX18_0291)

Received Date: 2018-07-23
Rev Recd Date: 2019-01-21

Available Online: 2019-02-14

Publish Date: 2019-07-01

Abstract

Abstract

In view of the imaging quality of sparse ISAR imaging methods is limited by the inaccurate sparse representation of the scene to be imaged, the Dictionary Learning (DL) technique is introduced into ISAR sparse imaging to get better sparse representation of the scene. An off-line DL based imaging method and an on-line DL based imaging method are proposed. The off-line DL imaging method can obtain a better sparse representation via a dictionary learned from the available ISAR images. The on-line DL imaging method can obtain the sparse representation from the data currently considered by jointly optimizing the imaging and DL processes. The results of both simulated and real ISAR data show that the on-line DL imaging method and the off-line dictionary imaging method are both able to better sparsely represent the target scene leading to better imaging results. The off-line DL based imaging method works better than the on-line DL based imaging method with respect to both imaging quality and computational efficiency.
- Inverse Synthetic Aperture Radar (ISAR),
- Sparse imaging,
- Sparse representation,
- Dictionary Learning(DL),
- Compressive Sensing (CS)

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References(24)

References

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