张士诚,李新萍,盛奇

• 1:河南省地质矿产勘查开发局第一地质矿产调查院

摘要(Abstract)：

针对建筑物立面的窗户提取问题,该文采用结合方向梯度特征、机器学习以及窗户规则性排列特征的方法:首先利用一个窗户模板的HOG特征,将模板与图像中的矩阵进行相关系数匹配,提取出正负样本;通过使用基于HSI色彩模型的颜色分布直方图和梯度方向直方图的方法对窗户特征进行提取,得到样本训练的SVM分类器,通过SVM识别所有窗户矩阵,根据矩阵灰度的相关条件对图像窗户目标筛选;再使用聚类求平均的方法获得精确的位置;最后根据建筑物立面窗户之间的规则排列特性作进一步筛选和补充。结果表明,该方法可以在极少人工处理的基础上有效识别大部分窗户结构,为建筑物精细化建模提供基础。

关键词(KeyWords)： 特征提取;HOG算子;模板匹配;支持向量机

Abstract:

Keywords:

基金项目(Foundation): 武汉大学地球空间环境与大地测量教育部重点实验室开放基金资助项目(18-01-02);; 东华理工大学江西省数字国土重点实验室开放研究基金资助项目(DLLJ201801)

作者(Author): 张士诚,李新萍,盛奇

DOI: 10.16251/j.cnki.1009-2307.2020.09.024

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