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Table 3 Overall accuracy of different HSI segmentation

From: Multilayer graph spectral analysis for hyperspectral images

Data

TS/C

NPE

LPNPE

LDA

LFDA

SPCA

MSPCA

MLG-SRC

MLG-MRC

IndianP

5

0.5368

0.6725

0.5995

0.5962

0.7734

0.7868

0.7432

0.7936

10

0.7049

0.7645

0.6930

0.6491

0.8576

0.8712

0.8604

0.8773

20

0.7987

0.8351

0.7656

0.7401

0.9390

0.9569

0.9226

0.9545

PaviaU

5

0.6835

0.7612

0.7243

0.7467

0.7439

0.7849

0.7561

0.8236

10

0.8063

0.8255

0.8124

0.7895

0.8342

0.9167

0.8398

0.8896

20

0.8569

0.8856

0.8500

0.8698

0.8938

0.9537

0.8697

0.9432

Salinas

5

0.8486

0.9209

0.8903

0.8883

0.9442

0.9500

0.9499

0.9588

10

0.8899

0.9452

0.9146

0.8277

0.9678

0.9815

0.9614

0.9863

20

0.9069

0.9589

0.9372

0.9356

0.9837

0.9904

0.9840

0.9915

  1. The best performances are marked in bold