并将两种特征模型进行线性融合，得到最终的目标表征模型，其中的融合系数由特征似然图对比度自适应确定。
The final target representation model was obtained by means of linear fusing the two feature models, and the fusion coefficient was determined adaptively by contrast ratio of feature likelihood map.
计算的结果证明用狭义和广义等效辐射截面系数来计算立体金属目标的天线温度对比度是可行的。
The results proved that it was feasible to count the ATC of metal solid objects by using its special and general ERSC.
仿真结果表明，提出的对比度增强方法能根据对比度增强系数实现不同程度的对比度增强，有效地提高了显示设备的图像显示质量。
The simulation results show that the proposed contrast enhancement method can realize contrast enhancement in different extent, which improves the image quality of display devices effectively.
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