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Table 4 Numerical results of the full reference GeoEye-1 dataset

From: Pansharpening based on convolutional autoencoder and multi-scale guided filter

Method

CC(1)

UIQI(1)

RMES(0)

RASE(0)

SAM(0)

ERGAS(0)

Q4(1)

IHS

0.94344

0.94327

19.622

18.015

5.6283

4.6538

0.8837

AIHS

0.95117

0.95566

17.432

16.004

5.2561

4.0669

0.90041

PCA

0.71449

0.80704

36.19

33.227

14.476

8.9614

0.68996

BDSD

0.95674

0.96131

17.53

16.095

6.2016

4.0897

0.91719

PRACS

0.94091

0.9545

17.857

16.395

4.6631

4.2619

0.89865

SFIM

0.7315

0.6906

57.368

52.671

6.0017

14.559

0.89337

Indusion

0.94438

0.94489

20.182

18.529

5.8298

4.4905

0.88997

MTF-GLP

0.95403

0.95517

18.87

17.325

6.6894

4.248

0.90944

CAE

0.95082

0.94401

26.323

24.168

5.389

5.9969

0.8993

MSGF

0.9575

0.9571

16.217

14.791

4.6017

3.7496

0.92439

PNN

0.93825

0.91003

27.623

25.361

9.9312

5.6757

0.86618

Proposed

0.95794

0.96376

16.103

14.784

4.8976

3.7145

0.91728