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EURASIP Journal on Image and Video Processing

Table 1 PSNR/SSIM values of state-of-the-art SR methods. The bold number indicates the best performance

From: Single-frame super-resolution for remote sensing images based on improved deep recursive residual network

Scene

Scale

Bicubic

SRCNN

FSRCNN

DRCN

VDSR

EDSR

IDRRN

Airplane

×2

31.43/0.8999

33.78/0.9270

34.05/0.9287

34.19/0.9322

34.78/0.9347

35.01/0.9354

35.20/0.9493

×3

29.12/0.8211

30.53/0.8439

31.12/0.8502

31.25/0.8667

31.41/0.8961

31.37/0.8863

31.78/0.8997

×4

27.03/0.7529

27.99/0.7718

28.24/0.7945

28.97/0.7940

29.26/0.8242

29.39/0.8271

29.42/0.8288

Bridge

×2

27.94/0.8813

28.50/0.9003

28.89/0.9039

29.02/0.9024

29.50/0.9168

29.42/0.9076

30.03/0.9194

×3

25.89/0.7714

27.01/0.7948

27.52/0.8109

27.99/0.8072

28.33/0.8222

28.48/0.8115

28.49/0.8258

×4

24.33/0.7253

25.12/0.7501

25.49/0.7592

25.71/0.7663

26.05/0.7620

25.47/0.7708

26.44/0.7854

Harbor

×2

21.16/0.8944

23.63/0.9058

23.97/0.9139

24.09/0.9243

26.05/0.9440

26.31/0.9502

26.35/0.9593

×3

18.49/0.7467

20.27/0.7580

20.81/0.7789

21.13/0.7941

22.16/0.8102

22.39/0.8003

22.48/0.8115

×4

16.93/0.5465

18.50/0.6019

18.84/0.6463

19.01/0.6740

19.36/0.7509

19.33/0.7482

19.42/0.7485

Inter-section

×2

19.84/0.7444

20.95/0.8039

21.28/0.8176

21.13/0.7916

23.27/0.8513

22.19/0.8240

23.86/0.8532

×3

17.49/0.5894

18.30/0.6189

19.52/0.6540

20.01/0.6693

20.12/0.7578

19.64/0.7602

20.16/0.7733

×4

14.47/0.4413

15.12/0.4914

15.36/0.4805

14.83/0.5301

15.02/0.5016

15.96/0.5633

16.43/0.5605

Parking_lot

×2

24.91/0.8081

26.02/0.8192

26.99/0.8206

27.38/0.8243

28.01/0.8444

27.94/0.8135

28.03/0.8487

×3

22.47/0.6176

22.96/0.6895

23.53/0.6543

23.97/0.7014

24.81/0.7288

25.02/0.7355

25.28/0.7356

×4

21.04/0.5543

21.77/0.5720

22.84/0.5782

23.15/0.5924

22.98/0.6013

23.55/0.5947

23.78/0.6172

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