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。
Tracking prediction tracking correlation and tracking detection are used in the method for multiple maneuvering target tracking.
利用航迹预测、航迹关联和航迹检测对目标进行跟踪。
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；
Maneuver detection is a key issue in the multiple-model target tracking applications.
机动检测是多模型目标跟踪中的一个关键问题。
An improved Wiener Filter (WF) is proposed by modifying reference term in WF transfer function to achieve multiple-target detection in noisy environment.
提出一种改进的维纳滤波模型，通过改变维纳滤波传递函数中的参考函数，以实现噪声环境下的多目标识别。
An improved Wiener Filter (WF) is proposed by modifying reference term in WF transfer function to achieve multiple-target detection in noisy environment.
提出一种改进的维纳滤波模型，通过改变维纳滤波传递函数中的参考函数，以实现噪声环境下的多目标识别。
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