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Table 3 Average accuracy (AA), overall accuracy (OA), and kappa for some segmentation-based and filter-based methods on Indian Pines and Pavia University data sets

From: A multiscale modified minimum spanning forest method for spatial-spectral hyperspectral images classification

Methods

Ref.

Indian Pines

PaviaU

AA

OA

Kappa

AA

OA

Kappa

SVM-MSF

[22]

91.06

88.4

87

84.14

92.3

80

MSSC-MSF

[23]

92.3

94.2

91

98.6

97.9

97

RD-MSF

[24]

93.73

91.33

–

–

–

–

Pixon based

[6]

92.18

89.94

88

94.72

95.17

94

SVMMRF-HSRM

[5]

–

93.10

92.11

–

–

–

MLRsubMLL-HSRM

[5]

–

80.21

82.60

–

–

–

EPF

[25]

94.46

90.28

89.98

98.38

99.09

98.77

MSF-KNN

[29]

90.1

88.67

87.32

94.39

95.1

94.12

AMG-M-HSEG

[30]

94.83

91.4

89.48

97.18

97.45

97.23

MSEPF-MMSF (Proposed method)

–

95.64

91.45

90.32

98.36

98.8

98.41