Optics and Precision Engineering, Volume. 30, Issue 12, 1487(2022)
Lightweight Mars remote sensing image super-resolution reconstruction network
Figures & Tables(12)
Fig. 7. Super-resolution results comparison of the No.54 Mars remote sensing test image for scale factor ×2
Fig. 8. Super-resolution results comparison of the No.59 Mars remote sensing test image for scale factor ×4
Fig. 9. Super-resolution results comparison of the No.26 Mars remote sensing test image for scale factor ×8
Table 1. Objective evaluation index values for ×8 super-resolution on Mars remote sensing image test dataset of ASLRN
View tableView in ArticleTable 1. Objective evaluation index values for ×8 super-resolution on Mars remote sensing image test dataset of ASLRN
No. PSNR/dB SSIM IFC No. PSNR/dB SSIM IFC 1 29.177 6 0.535 9 0.742 2 21 28.387 8 0.598 3 1.307 1 2 29.617 0 0.648 5 1.301 4 22 27.993 3 0.563 2 0.996 9 3 28.658 6 0.583 4 1.025 1 23 29.564 9 0.608 3 1.030 0 4 29.184 8 0.651 0 1.335 8 24 29.351 7 0.559 3 0.757 3 5 28.736 2 0.642 3 1.299 8 25 30.053 3 0.598 8 0.750 2 6 29.291 7 0.601 8 1.064 2 26 29.528 4 0.597 1 0.777 6 7 29.946 2 0.635 3 1.053 6 27 28.331 7 0.560 1 0.876 8 8 27.794 1 0.526 1 0.841 4 28 28.124 9 0.555 8 0.865 8 9 28.702 1 0.616 3 0.984 3 29 29.499 3 0.605 3 0.866 6 10 30.199 7 0.663 8 0.894 5 30 26.525 4 0.392 2 0.840 9 11 30.057 2 0.575 9 0.855 7 31 28.552 4 0.546 9 0.746 7 12 28.061 1 0.593 7 1.190 9 32 28.898 9 0.575 4 0.871 4 13 29.754 7 0.678 4 1.484 9 33 28.953 9 0.560 0 0.876 1 14 29.010 9 0.636 7 1.150 8 34 26.920 3 0.476 4 0.777 4 15 28.430 9 0.599 2 1.056 7 35 29.157 7 0.634 1 0.897 3 16 29.127 3 0.617 8 1.109 4 36 29.469 0 0.559 1 0.766 0 17 28.696 5 0.627 9 1.146 3 37 28.478 9 0.542 8 0.897 7 18 31.053 1 0.675 2 0.836 0 38 29.960 2 0.680 9 1.347 7 19 29.847 4 0.634 9 0.879 4 39 28.953 9 0.629 3 0.939 9 20 27.888 2 0.581 3 0.914 2 40 29.366 1 0.592 6 0.977 6
Table 2. Objective evaluation index values for ×8 super-resolution on Mars remote sensing image test dataset of ASLRN
View tableView in ArticleTable 2. Objective evaluation index values for ×8 super-resolution on Mars remote sensing image test dataset of ASLRN
No. PSNR/dB SSIM IFC No. PSNR/dB SSIM IFC 41 27.882 9 0.514 7 0.942 4 51 28.666 7 0.640 3 1.089 0 42 27.867 9 0.529 7 0.997 6 52 28.801 3 0.650 9 0.908 1 43 29.154 7 0.635 5 0.956 1 53 28.598 7 0.670 5 1.146 1 44 28.459 7 0.614 5 0.912 2 54 32.596 1 0.760 7 0.929 4 45 30.274 4 0.668 4 0.796 6 55 28.680 7 0.631 5 0.855 2 46 28.632 8 0.571 2 0.906 4 56 27.619 4 0.574 9 0.730 5 47 27.688 8 0.521 8 0.740 2 57 29.739 3 0.679 5 0.854 9 48 29.147 9 0.625 5 1.046 2 58 29.260 2 0.675 3 1.084 3 49 30.214 8 0.678 1 1.151 5 59 29.044 6 0.658 7 1.209 6 50 29.920 4 0.664 1 0.704 8 60 30.692 7 0.702 4 1.029 4
Table 2. Comparison of various algorithms on Mars remote sensing image test dataset
View tableView in ArticleTable 2. Comparison of various algorithms on Mars remote sensing image test dataset
Scale Method Parameters PSNR/dB SSIM IFC 2 Bicubic / 33.188 4 0.791 2 5.683 4 LapSRN 407 K 33.708 0 0.818 6* 7.720 1* SILRN 223 K 33.722 6 0.818 6* 7.673 9 DLRN 76 K 33.470 5 0.806 4 7.090 7 ASLRN 75 K 33.723 5* 0.818 6* 7.633 5 4 Bicubic / 30.812 5 0.680 6 2.195 3 LapSRN 812 K 31.400 8 0.708 3 2.887 2 SILRN 223 K 31.415 0 0.709 4 2.935 9 DLRN 76 K 31.183 8 0.698 6 2.654 6 ASLRN 75 K 31.432 1* 0.709 9* 2.941 8* 8 Bicubic / 28.209 6 0.579 2 0.725 6 LapSRN 667 K 28.920 5 0.602 2 0.902 8 SILRN 223 K 29.024 2 0.606 9 0.962 2 DLRN 76 K 28.747 6 0.594 4 0.838 0 ASLRN 75 K 29.037 5* 0.607 2* 0.972 1*
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Mingkun GENG, Fanlu WU, Dong WANG. Lightweight Mars remote sensing image super-resolution reconstruction network[J]. Optics and Precision Engineering, 2022, 30(12): 1487
Paper Information
Category: Information Sciences
Received: Dec. 23, 2021
Accepted: --
Published Online: Jul. 5, 2022
The Author Email: WANG Dong (wangd@ciomp.ac.cn)
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