研究了面向对象高分辨遥感图像分类技术。

Study the object-oriented classification technology of high resolution remote sensing image.

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提高遥感图像分类精度一直是受到普遍关注的焦点问题。

Improving classification accuracy is always the focus for remote sensing image classification.

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给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。

This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.

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