多尺度几何信息分割算法在居民地提取中的应用

Application of Segmentation Algorithm Based on Mul-Scale Wavelet Geometry Information in Residential Area Extraction

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,本文阐述了一种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几何信息。与传统的居民地提取方法比,它能更准确的刻画居民地的纹理特性,试验结果表明:基于小波尺度几何信息对居民地有较好的分割效果。

Aimed at the complexity of residential area extraction from black and white aerophoto,this paper presents a new algorithms of extracting the residential area.This new technique's characteristic is to transform the initial image into a pyramidstructured one in wavelet transform.Then geometry features are extracted from the pyramidstructured image.Compared with the typical traditional method,the present approach can describe the features of residential texture more accurately. Experiences show that the present method of mulscale wavelet geometry information offers visible improvements in diminishing segmentation.