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最后，本文将分类器的正确率、描述品质和可分辨度相结合，提出了一种确定模糊密度的方法。
Finally, a new method for determining fuzzy densities is proposed through incorporating accuracy, the uncertainty of fuzziness and ambiguity of the classifiers.
SVMFN中采用了一种新的模糊密度定义，同时考虑了分类器的精确度和不确定性，提高了识别的可靠性。
The SVMFN employs a new definition of fuzzy density which incorporates accuracy and uncertainty of the classifiers to improve recognition reliability.
实验表明，采用新的基于模糊积分的融合方法，只要选择适当的模糊密度，就可以使得融合图像在提高空间细节质量的同时，相比其它融合算法能够具有更好的光谱质量。
The experiment shows that while the developed method can keep spectral quality of fused image, it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.
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