Similarity Constrained Deep Belief Networks with Application to SAR Image Target Recognition

DING Jun; LIU Hongwei; CHEN Bo; FENG Bo; WANG Yinghua

doi:10.11999/JEIT150366

Volume 38 Issue 1

Jan. 2016

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DING Jun, LIU Hongwei, CHEN Bo, FENG Bo, WANG Yinghua. Similarity Constrained Deep Belief Networks with Application to SAR Image Target Recognition[J]. Journal of Electronics & Information Technology, 2016, 38(1): 97-103. doi: 10.11999/JEIT150366

Citation:

DING Jun, LIU Hongwei, CHEN Bo, FENG Bo, WANG Yinghua. Similarity Constrained Deep Belief Networks with Application to SAR Image Target Recognition[J]. Journal of Electronics & Information Technology, 2016, 38(1): 97-103. doi: 10.11999/JEIT150366

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Similarity Constrained Deep Belief Networks with Application to SAR Image Target Recognition

doi: 10.11999/JEIT150366

Funds:

The National Natural Science Foundation of China (61372132, 61201292), The Program for New Century Excellent Talents (NCET-13-0945), The Program for Young Thousand Talent by Chinese Central Government

Received Date: 2015-03-26
Rev Recd Date: 2015-09-16
Publish Date: 2016-01-19

Abstract

Abstract

Feature extraction is a key step in SAR image target recognition. The existence of speckle and discontinuity makes the conventional methods for natural images difficult to apply. Although Deep Belief Networks (DBNs) can be used to learn feature representations automatically, they work essentially in an unsupervised way, and hence the learned features are task-irrelevant. A new Boltzmann machine called Similarity constrained Restricted Boltzmann Machines (SRBMs) is proposed, which injects the supervised information into learning process through constraint on the similarity of feature vectors. Furthermore, a deep architecture named Similarity constrained DBNs (SDBNs) is constructed by layer-wise stacking of SRBMs. Experimental results show the proposed SDBN is superior to DBN and PCA in SAR image target recognition.
- SAR image target recognition,
- Feature extraction,
- Deep Belief Networks (DBNs),
- Similarity constrained Deep Belief Networks (SDBNs)

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References(15)

References

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