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

Table 1

Performance comparison of experimental image 1 extraction methods.

Extraction method	Running time (s)	Extraction accuracy (%)
Maximum interclass method	6.5	75
Maximum entropy method	2.1	62
Iterative method	10.8	63
K-means algorithm	8.4	74
ISODATA algorithm	4.3	68
FCM algorithm	34.6	70
FRFCM algorithm	21.5	83
Otsu and K-means combination method	20.9	78
Convolution neural network method	13.0	90