Bin Yang, Xiang Wang. Boosting Quality of Pansharpened Images Using Deep Residual Denoising Network[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161009
- Laser & Optoelectronics Progress
- Vol. 56, Issue 16, 161009 (2019)
Fig. 1. Framework of proposed method
Fig. 2. Structure of boosting network
Fig. 3. Experimental images. (a) MS; (b) PAN
Fig. 4. Results of different fusion methods. (a) ATWT; (b) BT; (c) GIHS; (d) GS; (e) SVT; (f) SWT
Fig. 5. Boosted results of different fusion methods. (a) ATWT; (b) BT; (c) GIHS; (d) GS; (e) SVT; (f) SWT
Fig. 6. Influences of different network parameters on experimental results. (a) ERGAS; (b) SAM; (c) Q4; (d) CC
Fig. 7. Reference image and results of compared methods and proposed method. (a) Reference image; (b) CS; (c) DRPNN; (d) PNN; (e) proposed method
Fig. 8. Reference image and results of compared methods and proposed method. (a) Reference image; (b) CS; (c) DRPNN; (d) PNN; (e) proposed method
Fig. 9. Different reference images and results of proposed method. (a) Reference images; (b) results of proposed method
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Table 1. Running time of different methods and corresponding boosting stages
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Table 2. Evaluation of fusion results obtained by different methods and corresponding boosted results
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Table 3. Evaluation of compared methods and proposed method
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