Table 5 OAs (%) of different ESE-9 C classifiers on the three RSI datasets.

From: Pure data correction enhancing remote sensing image classification with a lightweight ensemble model

Classifier

AID30

NWPU45

AFGR50

TR-20%

TR-10%

TR-20%

TR-10%

TR-20%

RD-ESE

97.53 ± 0.02

95.17 ± 0.05

96.57 ± 0.06

92.21 ± 0.35

96.40 ± 0.18

RD-ESE-9 C

97.50 ± 0.03↓0.03

95.16 ± 0.05↓0.01

96.57 ± 0.07↓0.0

92.17 ± 0.39↓0.04

96.38 ± 0.19↓0.02

DualB0-ESE

97.13 ± 0.04

94.75 ± 0.06

96.28 ± 0.03

90.84 ± 0.29

95.93 ± 0.15

DualB0-ESE-9 C

97.11 ± 0.03↓0.02

94.74 ± 0.06↓0.01

96.26 ± 0.05↓0.02

90.81 ± 0.30↓0.03

95.91 ± 0.19↓0.02

RST-ESE

97.86 ± 0.12

95.29 ± 0.04

96.78 ± 0.02

92.97 ± 0.37

96.60 ± 0.21

RST-ESE-9 C

97.81 ± 0.10↓0.05

95.26 ± 0.06↓0.03

96.73 ± 0.03↓0.05

92.93 ± 0.42↓0.04

96.59 ± 0.27↓0.01

RNV-ESE

97.86 ± 0.12

95.34 ± 0.08

96.70 ± 0.04

93.27 ± 0.29

96.77 ± 0.24

RNV-ESE-9 C

97.85 ± 0.14↓0.01

95.31 ± 0.11↓0.03

96.68 ± 0.05↓0.02

93.24 ± 0.33↓0.03

96.76 ± 0.25↓0.01