摘要
针对从全色航空影像中进行居民地区域提取的随机性和复杂性,阐述了一种基于小波尺度共生矩阵进行居民地提取的新算法,它的特点是先用小波变换将图像变换到不同的尺度层上,然后再在多尺度层上提取共生矩阵信息,形成居民地特征.与传统的居民地提取方法比,它用到了不同频率上居民地纹理信息,从而更准确的刻画了居民地的纹理特性,试验结果表明,基于小波尺度共生矩阵对居民地有较好的分割效果.
Aiming at the randomicity and complexity of residential area extraction from black and white aero-photo, this paper points out a new algorithms on extraction of the residential area in mul-scale wavelet symbiotic matrix. Its characteristic is to transform the image to different scale layer firstly, then extract mul-scale symbiotic matrix from different scale layer to form the characteristic of residential area. Compared with the traditional method, it use different scale information of residential texture. The characteristic of residential texture can be described more accurately. Experiments show that the method of wavelet mul-scale symbiotic matrix is reasonable and feasible
