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本文研究利用基于傅立叶变换和Hough变换的灰度共生矩阵方法对遥感影像居民地进行提取。首先,通过傅立叶变换把遥感影像变换到频率域,然后利用Hough变换找出遥感影像的主纹理方向,进而把影像主纹理方向旋转至水平,最后利用灰度共生矩阵方法进行纹理分割。实验结果表明:基于傅立叶变换和Hough变换的灰度共生矩阵方法对遥感影像居民地有较好的提取结果。
This paper studies the use of gray co-occurrence matrix method based on Fourier transform and Hough transform to extract the remote sensing image residents. Firstly, the remote sensing images are transformed into the frequency domain by Fourier transform, then the Hough transform is used to find the main texture direction of the remote sensing images, and then the main texture direction of the image is rotated to the horizontal. Finally, the gray level co-occurrence matrix method is used to segment the texture. The experimental results show that the gray level co-occurrence matrix method based on Fourier transform and Hough transform has good results for the residents of remote sensing images.