Laser & Optoelectronics Progress, Volume. 55, Issue 6, 062801(2018)
Super Resolution Reconstruction of Remote Sensing Images Based on Online Variational Bayesian Estimation
Figures & Tables(6)
Fig. 2. Comparison of reconstruction results of image ZY3-1. (a) Bil; (b) Bic; (c) ScSR; (d) proposed method
Fig. 3. Comparison of reconstruction results of image GF-1-2. (a) Bil; (b) Bic; (c) ScSR; (d) proposed method
Fig. 4. PSNR values of different reconstruction methods under the effect of noise
Table 1. Comparison of reconstruction image PSNR and ERGAS under different algorithmsdB
View tableTable 1. Comparison of reconstruction image PSNR and ERGAS under different algorithmsdB
Image Measure Bil Bic ScSR Proposed method ZY3-1 PSNR 31.7453 33.7279 35.9307 36.2086 ERGAS 2.1724 1.799 1.5638 1.5412 ZY3-2 PSNR 32.6057 35.3490 37.8376 38.0610 ERGAS 1.9473 1.4802 1.2359 1.2215 ZY3-3 PSNR 30.9769 32.7877 34.9336 35.2662 ERGAS 2.6237 2.2072 1.9111 1.8756 GF-1-1 PSNR 32.7566 33.9249 35.2115 35.3071 ERGAS 2.1044 1.8417 1.6788 1.5888 GF-1-2 PSNR 34.1533 35.1784 36.5635 36.6547 ERGAS 2.5129 2.2444 1.961 1.9421
Table 2. Comparison of reconstruction time under different algorithmss
View tableTable 2. Comparison of reconstruction time under different algorithmss
Image Bic ScSR Proposed method 237×234 0.005 501.044 76.426 456×438 0.006 1782.1 263.525
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Li Li, Lichun Sui, Junmei Kang, Xue Wang. Super Resolution Reconstruction of Remote Sensing Images Based on Online Variational Bayesian Estimation[J]. Laser & Optoelectronics Progress, 2018, 55(6): 062801
Paper Information
Category: Remote Sensing and Sensors
Received: Oct. 27, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Li Li (15829779607@163.com)
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