Research Article

A Method Combining CNN and ELM for Feature Extraction and Classification of SAR Image

Table 2

Recognition and contrast results (%) of different algorithms for SAR images.

Accuracy rateSRC
[2]
DCN
[4]
CGLF
[5]
PCA
[1]
CSPC
[3]
CNSVM
[25]
CNN-
SVM
[7]
CNNELM

2S185.3698.1895.6289.9590.6594.53100.00100.00
BMP_284.4898.9898.4694.5492.595.97100.00100.00
BRDM_290.1199.2795.2692.5493.3485.04100.00100.00
BTR_6096.5396.41100.0095.6898.9597.4699.99100.00
BTR_7098.3399.4999.4985.6699.7991.3397.66100.00
D_798.3299.27100.0090.8598.1298.18100.00100.00
T_6290.5499.6498.1789.9990.5291.2199.50100.00
T_7294.59100.00100.0096.7991.3898.1899.50100.00
ZIL_13_196.3599.6499.4994.6894.6593.8099.00100.00
ZUS_23_492.399.6499.6493.6594.6298.18100.00100.00
Average92.7099.1398.5692.4394.4894.3899.57100.00