Results indicate that our new method is effective and competitive than the conventional GLCM feature extraction method.
结果证明,其效果优于传统的GLCM特征提取方法。
GLCM describes texture features from pixel correlation of gray and the fractal dimension reflects the structure of self-similar.
灰度共生矩阵法能够从像元的灰度相关性上对纹理特征进行描述,而分形维数反映了纹理的结构自相似特征。
As there are still many difference between the remote sensing image from the same class. This paper proposes a new method of extracting features based on SFA and GLCM.
针对遥感影像中同类样本差异性较大的缺点,提出了一种基于SFA和GLCM的遥感影像特征提取方法。
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