A multiple sensor information fusion algorithms-posteriorprobability 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。
2
Monte Carlo method can generate a large collection of models according to the posteriorprobability distribution and analyses and display the models with relative likelihood of model properties.
蒙特卡洛法能根据后验概率分布产生大量的模型,并能用模型的相关似然性质来分析和呈现这些模型。
3
Then the segmentation problem is formulated as Maximum aPosteriorProbability (MAP) estimation rule.