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Table 2 Deep learning analysis of deformation at Turkish Volcanoes based on the method of Anantrasirichai et al. (2018, 2019a). The Convolutional Neural Network outputs two classes: D + S + T contains a mixture of deformation and atmospheric artefacts while S + T contains only atmospheric artefacts. The images in the D + S + T class are then checked by an expert and assigned to the true or false positive classes. In the case of Turkey, all images were either S + T or false positives. All volcano names are given using locally approved names and spelling with the GVP equivalents given in Table 1

From: Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to Turkish volcanoes

Volcano

Number of Images

CNN Outputs

Expert Checks

Deformation (D + S + T)

Atmosphere (S + T)

True Positive

False Positive

Kula Volcanic Field

796

0

796

0

0

Karapınar Volcanic Field

340

0

340

0

0

HasandaÄŸ

670

2

668

0

2

Göllüdağ

693

0

693

0

0

Acıgöl

696

0

696

0

0

Erciyes Dağı

339

1

338

0

1

KaracadaÄŸ

469

1

468

0

1

Nemrut Dağı

323

0

323

0

0

Tendürek Dağı

349

0

349

0

0

Ağrı

271

0

271

0

0

Total

4946

4

4946

0

4