A novel ship classification approach for high resolution SAR images based on the BDA-KELM classification model

2017 ◽  
Vol 38 (23) ◽  
pp. 6457-6476 ◽  
Author(s):  
Jun Wu ◽  
Yu Zhu ◽  
Zhicheng Wang ◽  
Zhengji Song ◽  
Xinggao Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Classification Model ◽  
Sar Images ◽  
Classification Approach ◽  
Ship Classification

scholarly journals Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2929 ◽  
Author(s):  
Yuanyuan Wang ◽  
Chao Wang ◽  
Hong Zhang
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Classification Accuracy ◽  
Experimental Results ◽  
Fine Tuning ◽  
Classification Model ◽  
Great Success ◽  
Sar Images ◽  
Convolutional Networks ◽  
Ship Classification

With the capability to automatically learn discriminative features, deep learning has experienced great success in natural images but has rarely been explored for ship classification in high-resolution SAR images due to the training bottleneck caused by the small datasets. In this paper, convolutional neural networks (CNNs) are applied to ship classification by using SAR images with the small datasets. First, ship chips are constructed from high-resolution SAR images and split into training and validation datasets. Second, a ship classification model is constructed based on very deep convolutional networks (VGG). Then, VGG is pretrained via ImageNet, and fine tuning is utilized to train our model. Six scenes of COSMO-SkyMed images are used to evaluate our proposed model with regard to the classification accuracy. The experimental results reveal that (1) our proposed ship classification model trained by fine tuning achieves more than 95% average classification accuracy, even with 5-cross validation; (2) compared with other models, the ship classification model based on VGG16 achieves at least 2% higher accuracies for classification. These experimental results reveal the effectiveness of our proposed method.

Civilian ship classification based on structure features in high resolution SAR images

2012 ◽  
Author(s):  
Shaofeng Jiang ◽  
Chao Wang ◽  
Hong Zhang ◽  
Fan Wu ◽  
Bo Zhang
Keyword(s):  
High Resolution ◽  
Sar Images ◽  
Ship Classification

Fine-grained ship classification based on deep residual learning for high-resolution SAR images

2019 ◽  
Vol 10 (11) ◽  
pp. 1095-1104 ◽  
Author(s):  
Yingbo Dong ◽  
Hong Zhang ◽  
Chao Wang ◽  
Yuanyuan Wang
Keyword(s):  
High Resolution ◽  
Sar Images ◽  
Fine Grained ◽  
Residual Learning ◽  
Ship Classification

scholarly journals Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map

Sensors ◽  
2015 ◽  
Vol 15 (9) ◽  
pp. 23071-23094 ◽  
Author(s):  
Yihua Tan ◽  
Qingyun Li ◽  
Yansheng Li ◽  
Jinwen Tian
Keyword(s):  
High Resolution ◽  
Saliency Map ◽  
Sar Images ◽  
Aircraft Detection
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