Table 8 Quantitative comparison of remote-sensing datasets on RS-T1 and RS-T2.

Bicubic

\(\times \)2

-

33.25/0.8934

30.64/0.8837

SRCNN¹

57K

35.18/0.9243

32.87/0.9209

VDSR¹⁵

666K

35.85/0.9312

33.86/0.9312

LGCNet⁶⁵

193K

35.65/0.9298

33.47/0.9281

LapSRN³⁹

251K

35.69/0.9304

33.57/0.9286

IDN¹⁹

553K

36.13/0.9339

34.07/0.9329

LESRCNN⁴⁴

626K

36.04/0.9328

34.00/0.9320

CARN-M⁶

412K

35.77/0.9314

33.84/0.9315

FeNet⁶³

351K

36.23/0.9341

34.22/0.9337

FDENet⁶⁶

480K

36.26/0.9346

34.28/0.9338

DRAN⁶⁷

589K

36.38/0.9348

34.42/0.9357

IFIN-S(ours)

451K

36.38/0.9356

34.42/0.9352

IFIN(ours)

972K

36.42/0.9359

34.49/0.9361

Bicubic

\(\times \)3

-

29.73/0.7818

27.23/0.7697

SRCNN¹

57K

30.95/0.8228

28.59/0.8180

VDSR¹⁵

666K

31.55/0.8352

29.40/0.8391

LGCNet⁶⁵

193K

31.30/0.8314

29.03/0.8312

LapSRN³⁹

290K

31.47/0.8338

29.22/0.8352

IDN¹⁹

553K

31.73/0.8430

29.59/0.8450

LESRCNN⁴⁴

810K

31.68/0.8398

29.65/0.8444

CARN-M⁶

412K

31.72/0.8426

29.62/0.8452

FeNet⁶³

357K

31.89/0.8432

29.80/0.8481

FDENet⁶⁶

488K

31.98/0.8488

29.88/0.8489

DRAN⁶⁷

589K

32.08/0.8470

30.05/0.8537

IFIN-S (ours)

470K

32.04/0.8448

30.03/0.8535

IFIN (ours)

991K

32.18/0.8506

32.18/0.8560

Bicubic

\(\times \)4

-

27.91/0.6968

25.40/0.6770

SRCNN¹

57K

28.87/0.7382

26.46/0.7296

VDSR¹⁵

666K

29.33/0.7546

27.03/0.7525

LGCNet⁶⁵

193K

29.13/0.7481

26.76/0.7426

LapSRN³⁹

543K

29.51/0.7614

27.24/0.7600

IDN¹⁹

553K

29.56/0.7623

27.31/0.7627

LESRCNN⁴⁴

774K

29.62/0.7625

27.41/0.7646

CARN-M⁶

412K

29.57/0.7624

27.37/0.7647

FeNet⁶³

366K

29.70/0.7688

27.45/0.7672

FDENet⁶⁶

501K

29.72/0.7658

27.54/0.7697

DRAN⁶⁷

589K

29.85/0.7710

27.67/0.7758

IFIN-S(ours)

470K

29.84/0.7724

27.68/0.7763

IFIN(ours)

991K

29.92/0.7736

27.83/0.7809