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Table 4 Experimental results exploring the favorable feature size without patching for each dataset using the spectral feature reduction method PCA. An explanation of the metrics can be found in "Experiment configurations" section

From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering

Methods

OA

AA

Kappa

OA

AA

Kappa

 

IP (k = 2)

Salinas (k = 3)

PCA 45

89.91 ± 0.1

88.66 ± 0.1

87.99 ± 0.1

96.06 ± 0.1

98.25 ± 0.1

95.61 ± 0.1

PCA 40

90.2 ± 0.1

90.99 ± 0.2

88.76 ± 0.1

96.40 ± 0.1

98.34 ± 0.1

96.12 ± 0.1

PCA 35

90.15 ± 0.1

90.79 ± 0.2

88.79 ± 0.1

96.36 ± 0.1

98.32 ± 0.1

95.96 ± 0.1

PCA 30

90.01 ± 0.1

90.52 ± 0.2

88.67 ± 0.1

96.44 ± 0.1

98.36 ± 0.1

96.34 ± 0.1

PCA 25

89.01 ± 0.1

87.77 ± 0.2

87.56 ± 0.1

96.33 ± 0.1

98.32 ± 0.1

95.97 ± 0.1

PCA 20

88.00 ± 0.1

86.89 ± 0.2

86.41 ± 0.1

96.37 ± 0.1

98.24 ± 0.1

95.95 ± 0.1

PCA 15

82.18 ± 0.2

79.59 ± 0.2

79.69 ± 0.2

96.31 ± 0.2

98.11 ± 0.2

95.81 ± 0.2

 

KSC (k = 2)

Botswana (k = 3)

PCA 45

88.49 ± 0.1

82.49 ± 0.1

87.14 ± 0.1

95.69 ± 0.1

95.82 ± 0.1

95.33 ± 0.1

PCA 40

96.21 ± 0.1

95.01 ± 0.1

96.11 ± 0.1

96.43 ± 0.2

96.89 ± 0.2

96.01 ± 0.2

PCA 35

95.91 ± 0.1

94.12 ± 0.1

95.75 ± 0.1

96.34 ± 0.2

97.04 ± 0.2

96.00 ± 0.2

PCA 30

95.25 ± 0.1

93.05 ± 0.1

94.98 ± 0.1

96.43 ± 0.2

97.10 ± 0.2

96.13 ± 0.2

PCA 25

93.75 ± 0.1

90.11 ± 0.1

93.01 ± 0.1

96.40 ± 0.2

96.84 ± 0.2

95.89 ± 0.2

PCA 20

92.40 ± 0.1

87.58 ± 0.1

91.69 ± 0.1

96.41 ± 0.2

96.82 ± 0.2

95.78 ± 0.2

PCA 15

82.87 ± 0.2

76.57 ± 0.2

80.85 ± 0.2

96.32 ± 0.2

96.55 ± 0.2

96.77 ± 0.2

 

PU (k = 2)

Houston (k = 2)

PCA 45

96.01 ± 0.1

94.98 ± 0.1

94.88 ± 0.1

96.56 ± 0.1

97.00 ± 0.1

96.50 ± 0.1

PCA 40

95.88 ± 0.1

94.16 ± 0.1

94.54 ± 0.1

96.55 ± 0.1

96.89 ± 0.1

96.01 ± 0.1

PCA 35

96.13 ± 0.1

94.64 ± 0.1

94.87 ± 0.1

97.01 ± 0.1

96.99 ± 0.1

96.84 ± 0.1

PCA 30

96.18 ± 0.1

95.1 ± 0.1

95.00 ± 0.1

96.43 ± 0.1

97.1 ± 0.1

96.89 ± 0.1

PCA 25

96.01 ± 0.1

94.56 ± 0.1

94.78 ± 0.1

96.4 ± 0.1

96.84 ± 0.1

95.89 ± 0.1

PCA 20

95.8 ± 0.1

94.57 ± 0.1

94.58 ± 0.1

96.41 ± 0.1

96.82 ± 0.1

95.78 ± 0.1

PCA 15

95.89 ± 0.1

94.51 ± 0.2

94.47 ± 0.1

96.01 ± 0.1

96.44 ± 0.1

95.79 ± 0.1

  1. Highest performing values are highlighted in bold