Remote Sensing Image Recognition Based on LOG-T-SSA-LSSVM and AE-ELM Network

Table 1

Comparison algorithm parameter table.

Algorithm	Parameter setting
SSA-LSSVM	ST = 0.6; PD = 0.4; initial kernel parameter 20; initial penalty factor 100
Tent-SSA-LSSVM	Tent Beta = 0.4; ST = 0.6; PD = 0.4; initial kernel parameter 20; initial penalty factor 100
EOBL-SSA-LSSVM	Learning rate 0.5; ST = 0.6; PD = 0.4; initial kernel parameter 20; initial penalty factor 100
LOG-T-SSA-LSSVM	Log coefficient 0.4; T-distribution degree of freedom is the number of iterations; ST = 0.6; PD = 0.4; initial kernel parameter 20; initial penalty factor 100