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；
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。
To improve calculation performance of centralized target tracking system which consists of multiple dissimilar sensors, a fusion tracking method based on equivalent sensor was presented.
为了提高多个异类传感器构成的集中式融合跟踪系统的计算性能，提出一种基于等效传感器的融合跟踪方法。
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