A multiple sensor information fusion algorithms-posterior probability detection algorithms is presented and applied to target identification.
提出了一种用于目标识别的多传感器雅息融合算法—后验概率检测算法。
Then extracts the multiple features of these target candidate areas in fusion detection result from the two sensor images as the evidence to eliminate redundant information.
然后在各传感器图像中提取融合检测结果中各候选区域的多个图像特征作为进一步消除冗余信息的证据；
Towards the distributed multiple sensor detection information fusion, detection performance under N P criterion is studied, while the algorithm for local detection is based on likelihood criterion.
针对多传感器分布式检测信息融合系统，研究了在N P检验准则下的融合算法。
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