To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.

为了获得更精简的特征序列，去除冗余特征，在特征约减方面，提出了基于多目标遗传算法的虹膜融合特征约减方法；

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Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps.

首先在画素级上提取影像的纹理和形状结构特征，在构建的多尺度分割集影像上提取物件的区域光谱特征。

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Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps.

首先在画素级上提取影像的纹理和形状结构特征，在构建的多尺度分割集影像上提取物件的区域光谱特征。

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