Table 3 Results of dataset 1 and dataset 2

From: Automatic labeling framework for paint loss disease of ancient murals based on hyperspectral image classification and segmentation

Method

PA(%)(dat1/dat2)

MPA(%)(dat1/dat2)

IOU(%)(dat1/dat2)

PFOM(dat1/dat2)

MNF+SVM

83.57/67.31

82.49/55.28

55.40/47.66

0.2492/0.5556

OPTICS

86.26/61.94

83.38/51.03

55.28/39.32

0.2044/0.5456

RPNET

84.08/78.64

85.76/76.62

55.89/70.83

0.2428/0.6637

SSFCN

89.90/85.14

90.35/83.20

65.58/72.39

0.2530/0.7369

DLSCS

93.16/97.49

92.08/98.08

69.02/83.28

0.3124/0.7478

  1. Bold represents the best result
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