Jun-ming LIU, Wei-hua MENG. Infrared Small Target Detection Based on Fully Convolutional Neural Network and Visual Saliency[J]. Acta Photonica Sinica, 2020, 49(7): 710003

Search by keywords or author
- Acta Photonica Sinica
- Vol. 49, Issue 7, 710003 (2020)

Fig. 1. Proposed detection scheme

Fig. 2. Detection schemes of different algorithms

Fig. 3. Typical fully convolutional neural networks for infrared small target detection.

Fig. 4. Proposed fully convolutional neural network

Fig. 5. Typical target image based on 2D Gaussian model

Fig. 6. Typical infrared images with small targets

Fig. 7. Segmentation results of different networks

Fig. 8. ROC curve of proposed algorithms with and without contrast feature

Fig. 9. Test images and results of seven algorithms

Fig. 10. ROC curves of different algorithms
|
Table 1. Comparation of different design choices of proposed network
|
Table 2. Performance of different networks
|
Table 3. G of different algorithms on 8 test images
|
Table 4. B of different algorithms on 8 test images
|
Table 5. Average run time of different algorithms

Set citation alerts for the article
Please enter your email address