Table 2 Details of the land-cover types and the number of training, validation, and testing samples for UP and HU data sets.

From: Adaptive pixel attention network for hyperspectral image classification

No.

University of Pavia (UP) (1%,0.1%,98.99%)

University of Houston (HU) (1%,0.1%,98.99%)

Class

Col

Train

Val

Test

Class

Col

Train

Val

Test

1

Asphalt

66

6

6559

Grass-heal

12

1

1238

2

Meadows

186

18

18445

Grass-stre

12

1

1241

3

Gravel

20

2

2077

Grass-synth

6

1

690

4

Trees

30

3

3031

Tree

12

1

1231

5

Metal

13

1

1331

Soil

12

1

1229

6

Bare-soil

50

5

4974

Water

3

1

321

7

Bitumen

13

1

1316

Residential

12

1

1255

8

Bricks

36

3

3643

Commercial

12

1

1231

9

Shadows

9

1

937

Road

12

1

1239

10

     

Highway

12

1

1214

11

     

Railway

12

1

1222

12

     

Parking-lot1

12

1

1220

13

     

Parking-lot2

4

1

464

14

     

Tennis-court

4

1

423

15

     

Running-tr

6

1

653

 

Total

 

423

40

42313

Total

 

143

13

14871