PFWG Improved CNN Multispectra Remote Sensing Image Classification

Fig. 10. Classification result comparison graph. (a) BP neural network classification result; (b) CNN classification result; (c) PFWG improved CNN classification result

Download full size

Table 1. Land cover classification system and interpretation marks in the study area

View table

Table 1. Land cover classification system and interpretation marks in the study area

Image	Feature type	Image characteristic
	Building	Buildings are arranged neatly and there are roads passing through.The colors are gray and dark gray.
	Water	Uniform texture, smooth borders, blue-green or dark blue.
	Green area	Blocky distribution, the color characteristics are more obvious, dark green, light blue.
	Nudation	Texture shows a pattern, there are roads through, the color is purple, gray purple.

Table 2. BP neural network classification result confusion matrix%
View table
Table 2. BP neural network classification result confusion matrix%
Classification Building Nudation Water Greenbelt Aggregate
Building 91.44 19.73 6.07 3.47 30.1
Nudation 8.56 80.27 0 0 22.1
Water 0 0 93.93 0 23.3
Greenbelt 0 0 0 96.53 24.5
Aggregate 100 100 100 100 100

Table 3. CNN classification result confusion matrix%
View table
Table 3. CNN classification result confusion matrix%
Classification Building Nudation Water Greenbelt Aggregate
Building 93.12 17.85 2.94 0.71 28.6
Nudation 6.88 82.15 0 0 22.2
Water 0 0 97.06 0 24.2
Greenbelt 0 0 0 99.29 25.0
Aggregate 100 100 100 100 100

Table 4. PFWG improved CNN classification result confusion matrix%
View table
Table 4. PFWG improved CNN classification result confusion matrix%
Classification Building Nudation Water Greenbelt Aggregate
Building 96.63 15.48 0.82 0 28.3
Nudation 3.37 84.52 0 0 21.9
Water 0 0 99.18 0 24.8
Greenbelt 0 0 0 100 25.0
Aggregate 100 100 100 100 100

Table 5. Classification accuracy evaluation matrix
View table
Table 5. Classification accuracy evaluation matrix
Parameter BP neural network Convolutional neural network Improved algorithm
Kappa coefficient 0.88 0.90 0.94
Classification speed /min 25 7 4
Overall accuracy /% 91.63 92.82 93.73

Tools

Get Citation

Copy Citation Text

Min Wang, Tanfei Fan, Weiguo Yun, Zhihui Wang. PFWG Improved CNN Multispectra Remote Sensing Image Classification[J]. Laser & Optoelectronics Progress, 2019, 56(3): 031003

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites