Based on frequency domain distribution and scale feature of textural information, we can do texture classification effectively.

该算法利用纹理信息的频域分布以及尺度特性，并在此基础上进行纹理分类。

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It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.

通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。

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We can make good use of texture and spatial information during the classification process.

我们可以结合光谱信息及纹理信息来进行有效的分类。

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"Texture perception might complement visual information in such classification tasks, " he said.

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