Table 3 Quantitative comparison results on the Potsdam and Vaihingen test.

From: Multi-scale boundary-aware network for remote sensing image semantic segmentation

data

Model

ImSurf

(F1/IOU)

Building

(F1/IOU)

LowVeg

(F1/IOU)

Tree

(F1/IOU)

Car

(F1/IOU)

MeanF1

mIOU

OA

BIoU

Potsdam

U-Net

89.53/81.04

90.64/82.88

82.31/69.93

81.38/68.60

93.50/87.80

87.47 ± 0.26

78.52 ± 0.31

85.44 ± 0.38

50.50 ± 0.29

DeepLabv3+

91.42/84.20

94.36/89.32

84.47/73.12

83.68/71.92

89.41/80.85

88.66 ± 0.42

79.88 ± 0.26

88.20 ± 0.52

51.10 ± 0.17

FCN8s

91.40/84.16

93.51/87.82

83.41/71.54

82.65/70.43

93.01/86.94

88.79 ± 0.18

80.18 ± 0.42

87.41 ± 0.52

49.80 ± 0.17

UnetFormer

93.80/88.36

96.25/92.78

87.21/77.32

88.22/78.93

96.22/92.73

92.05 ± 0.24

86.02 ± 0.18

90.17 ± 0.25

53.25 ± 022.

FTransUNet

94.17/87.98

96.66/93.80

87.52/77.58

88.81/79.69

95.18/91.90

92.46 ± 0.23

86.20 ± 0.17

91.34 ± 0.26

52.55 ± 0.20

CMTFNet

93.85/88.63

96.57/93.63

87.62/78.09

89.03/80.38

95.70/92.01

92.55 ± 0.19

86.55 ± 0.14

91.38 ± 0.21

52.40 ± 0.17

UrbanSSF

94.16/88.97

96.80/93.81

87.56/77.88

89.36/80.79

96.35/92.94

92.85 ± 0.11

86.84 ± 0.19

91.69 ± 0.41

54.10 ± 0.29

Ours

94.26/89.15

96.84/93.88

88.14/78.80

89.48/80.97

96.35/92.95

93.01 ± 0.10

87.15 ± 0.09

91.83 ± 0.14

52.90 ± 0.10

Vaihingen

U-Net

94.76/90.04

90.27/82.27

80.46/67.32

88.07/78.68

76.08/66.35

85.93 ± 0.13

77.03 ± 0.28

91.03 ± 0.37

48.80 ± 0.26

FCN8s

94.08/83.63

91.04/88.75

82.51/70.22

88.59/79.52

82.74/70.56

87.79 ± 0.27

78.54 ± 0.22

89.06 ± 0.11

47.75 ± 0.25

DeepLabv3+

95.27/85.64

92.40/91.21

83.56/71.77

89.22/80.55

85.36/74.46

89.16 ± 0.29

80.73 ± 0.20

90.27 ± 0.33

48.53 ± 0.21

UnetFormer

96.58/92.21

95.41/91.02

83.89/71.50

90.15/80.86

86.36/74.77

90.48 ± 0.18

82.47 ± 0.16

92.26 ± 0.24

49.80 ± 0.45

CMTFNet

96.60/93.20

95.20/91.80

84.27/73.33

89.85/81.57

88.44/80.89

90.56 ± 0.20

82.84 ± 0.17

91.97 ± 0.23

49.10 ± 0.16

FTransUNet

96.63/93.77

95.85/91.83

84.89/73.56

89.83/82.03

88.85/80.34

91.21 ± 0.94

84.23 ± 0.22

92.40 ± 0.27

50.13 ± 0.19

UrbanSSF

96.85/93.91

95.66/91.89

84.72/73.39

90.19/82.28

89.34/80.75

91.37 ± 0.24

84.44 ± 0.20

92.89 ± 0.16

50.60 ± 0.18

Ours

97.00/94.18

95.85/92.04

85.03/73.96

90.29/82.30

89.31/80.69

91.50 ± 0.10

84.63 ± 0.09

92.52 ± 0.11

56.54 ± 0.10