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

Table 2

Performance comparison of experimental image 2 extraction methods.

Extraction method	Running time (s)	Extraction accuracy (%)
Maximum interclass method	2.1	57
Maximum entropy method	12.3	53
Iterative method	23.6	75
K-means algorithm	9.8	71
ISODATA algorithm	4.1	74
FCM algorithm	68.2	79
FRFCM algorithm	18.7	81
Otsu and K-means combination method	9.2	82
Convolution neural network method	20.4	94