城市变化监控能够有效帮助政府机关和城区规划部门更新地图并制定长远的发展计划。论文提出了一个基于 Log-Gabor 滤波器快速提取遥感图像中居民区域的新方法。方法分为三步：首先使用 Log-Gabor 滤波器提取遥感图像中具有边缘方向性的城市居民区域特征；然后在此基础上“耦合”相同居民区域不同方向滤波器提取出来的纹理特征，进而获得完整的居民区域；最后利用 Otsu 方法在结果图像中对居民区域进行标记和分割。实验将本论文方法同传统纹理提取手段共生矩阵分析方法进行比较证明了本文方法的优越性。%Monitoring urbanization may help government agencies and urban region planners in updating land maps and forming long-term plans accordingly .In this paper ,a novel method for fast extracting residential area from remote sensing images based on log-Gabor filter is proposed .The method is divided in three steps .Firstly ,the edge-oriented urban charac-teristics in a remote sensing image are detected using log-Gabor filter .Secondly ,with the filtering orientations perpendicular to each other ,two log-Gabor filter response images to suppress the noise and acquire a smooth spatial region .Thirdly ,a set of smooth regions served as residential areas can be extracted using Otsu's method .The comparison of our method with the classical texture analyzing method of co-occurrence matrix demonstrates its superiority .
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