Table 1 Details of the land-cover types and the number of training, validation, and testing samples for IP and KSC data sets.

From: Adaptive pixel attention network for hyperspectral image classification

No.

Indian Pines (IP) (1%,0.1%,98.99%)

Kennedy Space Center (KSC) (1%,0.1%,98.99%)

Class

Col

Train

Val

Test

Class

Col

Train

Val

Test

1

Alfalfa

1

1

44

Scrub

8

1

752

2

Com-no till

14

1

1413

Willow

3

1

239

3

Corn-min till

9

1

820

CP ham

3

1

252

4

Corn

3

1

234

Cp/O-ham

3

1

248

5

Grass/pasture

5

1

479

Slash-pine

2

1

158

6

Grass/trees

8

1

721

Oak/B-ham

3

1

225

7

Grass/pasture-m

1

1

18

HW swamp

1

1

103

8

Hay-windrowe

5

1

472

Graminoid

5

1

425

9

Oats

1

1

18

Spartina

5

1

514

10

Soybean-n

10

1

961

Cattail

4

1

399

11

Soybean-min

25

2

2429

Salt marsh

4

1

414

12

Soybean-clean

6

1

586

Mudflats

5

1

497

13

Wheat

2

1

203

Water

10

1

916

14

Woods

13

1

1252

     

15

Buildings-G-T

4

1

382

     

16

Stone-steel-t

1

1

91

     
 

Total

 

108

17

10124

Total

 

56

13

5142