The paper proposed a feature selection algorithm through high step association analysis, mined the various features of object recognition using property related analysis, the sensitive recognition features were chosen to improve the recognition efficiency. A recognition algorithm based on complementary features of multi-source remote sensing images was presented. The experiment results showed the algorithm had effectively improved the accuracy of bridge recognition.
Real Time Impact Factor:
1.66667
Author Name: Yongmei Zhang, Li Ma, Qing Ye
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Keywords: Fusion on the Decision Level; High Step Association Analysis; Object Recognition; Multi-spectral Image; Panchromatic Image; SAR Image
ISSN: 2326-585X
EISSN: 2326-5868
EOI/DOI:
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