Remote Sensing Recognition and Classification of Forest Vegetation Based on Image Feature Depth Learning

Table 4

Test Figure 2 comparison of extraction method running time and extraction accuracy.

Extraction method	Running time (s)	Extraction accuracy (%)
Algorithms in this chapter	10.2	91.5
FRFCM algorithm	18.9	83.0
Convolution neural network method	19.6	95.3
Otsu and K-means combination method	9.5	85.0