IR Target Detection Based on Multi-sensor Multi-level Information Fusion

Aimed at the difficult problem for detecting distant small target with very low SNR, the proposed method of target detection based on multi-sensor multi-level information fusion consists of two parts: The feature level fusion and the decision fusion. On the phase of feature level fusion, first extract all feature images of dual band IR images; then fuse these feature images by using the adaptive weighting method to get the confidence images of target decision; finally scan the confidence images by using the maximum confidence value rule to get result of target detection for all levels. On the phase of decision fusion, fuse the result of target detection for all levels by using the combination logic to get target detection output for the system. The result shows the effectiveness.