Table 6 Summary of classification accuracy (%) using different classifiers
From: Deep factor analysis for weather varied sense-through-foliage target detection
Algorithm description | Human being (%) | Wood board (%) | Iron cabinet (%) |
|---|---|---|---|
DFA+SVM | 97.23 | 99.69 | 96.83 |
SVM | 74.22 | 67.66 | 60.00 |
DFA+KNN | 97.11 | 99.19 | 91.08 |
KNN | 74.49 | 68.75 | 58.77 |
DFA+BPNN | 90.57 | 97.66 | 95.02 |
BPNN | 62.37 | 58.00 | 44.75 |