Name
Title | ||
|---|---|---|
Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data. |
Abstract | ||
|---|---|---|
t Tremendous progress has been made in object recognition with deep convolutional neural networks (CNNs), thanks to the availability of large-scale annotated dataset. With the ability of learning highly hierarchical image feature extractors, deep CNNs are also expected to solve the Synthetic Aperture Radar (SAR) target classification problems. However, the limited labeled SAR target data becomes a handicap to train a deep CNN. To solve this problem, we propose a transfer learning based method, making knowledge learned from sufficient unlabeled SAR scene images transferrable to labeled SAR target data. We design an assembled CNN architecture consisting of a classification pathway and a reconstruction pathway, together with a feedback bypass additionally. Instead of training a deep network with limited dataset from scratch, a large number of unlabeled SAR scene images are used to train the reconstruction pathway with sacked convolutional auto-encoders (SCAE) at first. Then, these pre-trained convolutional layers are reused to transfer knowledge to SAR target classification tasks, with feedback bypass introducing the reconstruction loss simultaneously. The experimental results demonstrate that transfer learning leads to a better performance in the case of scarce labeled training data and the additional feedback bypass with reconstruction loss helps to boost the capability of classification pathway. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/rs9090907 | REMOTE SENSING |
Keywords | Field | DocType |
SAR target recognition,deep CNNs,transfer learning,stacked convolutional auto-encoders | Training set,Computer vision,Synthetic aperture radar,Convolutional neural network,Computer science,Transfer of learning,Artificial intelligence,Labeled data,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | Citations |
9 | 9 | 32 |
PageRank | References | Authors |
1.32 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongling Huang | 1 | 44 | 3.35 |
| Zongxu Pan | 2 | 74 | 8.13 |
| Bin Lei | 3 | 43 | 4.75 |