Table 7 Ablation study – impact of PCA on HSICNet performance across datasets.

From: HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring

Dataset

PCA applied

Overall accuracy (%)

Kappa coefficient

F1-score

Inference time (s)

Indian Pines

Yes

98.63

0.98

0.976

2.1

Indian Pines

No

97.42

0.96

0.962

3.4

Pavia University

Yes

99.14

0.99

0.986

1.9

Pavia University

No

97.93

0.97

0.972

2.9

Salinas

Yes

99.35

0.99

0.991

2.4

Salinas

No

98.02

0.97

0.979

3.6