Shuo Huang, Yong Hu, MingJian Gu, Cailan Gong, Fuqiang Zheng. Super-Resolution Infrared Remote-Sensing Target-Detection Algorithm Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610015
- Laser & Optoelectronics Progress
- Vol. 58, Issue 16, 1610015 (2021)
Fig. 1. Structure of WDSR
Fig. 2. Process of sampling
Fig. 3. Diagrams of multiscale feature extraction networks. (a) Feature extraction network in Faster RCNN; (b) multiscale feature extraction network
Fig. 4. Comparison of target detection results. (a) Before improvement; (b) after improvement
Fig. 5. Digram of SROD
Fig. 6. Impact of resolution on the accuracy of dataset recognition
Fig. 7. Comparison of results. (a) Direct detection results; (b) training with infrared data; (c) after super-resolution reconstruction
Fig. 8. Detection results of super-resolution reconstructed image. (a) Bicubic; (b) ScSR; (c) SRCNN; (d) WDSR
Fig. 9. SROD ship detection results of the entire image
Fig. 10. Comparison of detection results of different methods. (a) Real target; (b) detection result of saliency segmentation; (c) detection result of SROD; (d) detection result of Faster RCNN
Fig. 11. Ship targets of different sizes. (a) Large; (b) medium; (c) small
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Table 1. Structure of ResNet101
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Table 2. UAV data parameters
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Table 3. Detection results
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Table 4. Target type statistics
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