然而，WebBeans具有“成分清白”的优势，所以最后的结果只会是更加干净，更加优雅，而且类型更加安全。

However, Web Beans had the advantage of starting from a clean SLATE and so the end result is cleaner, more elegant and more type safe overall.

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最后提出了基于统计分类的目标检测方法，并实现了基于主成分分析的目标识别系统，实验取得了比较理想的结果。

Finally we propose statistical classification based object detecting method, and realize the PCA based object detecting system. The system is experimented and achieves satisfactory results.

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最后，对小波重构得到的新亮度成分和原始多谱图像的色度和饱和度成分进行IHS反变换，从而得到最终的融合结果图像。

Finally, perform inverse IHS transform to the wavelet reconstructed new intensity component and the hue and saturation components from the original MS image to get the fused image.

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最后，对小波重构得到的新亮度成分和原始多谱图像的色度和饱和度成分进行IHS反变换，从而得到最终的融合结果图像。

Finally, perform inverse IHS transform to the wavelet reconstructed new intensity component and the hue and saturation components from the original MS image to get the fused image.

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