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NP检验准则下的融合算法。
Since multiple sensors can supply more information in time and space, the multi-sensor information fusion technology for signal processing is wide studied and applied.
由于多传感器在时间和空间上能够提供更丰富的信息，因而，多传感器信息融合信号处理技术得到了广泛的研究和应用。
Multi-sensor information fusion refers to the synergistic combination of sensory data from multiple sensors to provide more reliable and accurate information.
多传感器信息融合是指综合来自多个传感器的感知数据，以产生更可靠、更准确或更精确的信息。
Multi-sensor information fusion refers to the synergistic combination of sensory data from multiple sensors to provide more reliable and accurate information.
多传感器信息融合是指综合来自多个传感器的感知数据，以产生更可靠、更准确或更精确的信息。
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