An Effective Object Recognition Algorithm Based on Multi-source Remotely-sensed Image Fusion

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.

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