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- 2018
结合样本自动选择与规则性约束的窗户提取方法
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Abstract:
针对窗户内部结构性与分布规则性等特点，提出了一种结合样本自动选择和分布规则性约束的窗户提取方法。首先，利用模板匹配对选取的单个窗户样本进行拓展，自动选择一定数量的正负样本；其次，利用自动选择的样本对JointBoost分类器进行训练，并对建筑物立面影像进行窗户提取；最后，建立包含窗户走向线、倾向线、兴趣点和相似度4个要素的窗户分布规则性模型，并利用规则性模型约束对提取结果进行优化，得到最终窗户提取结果。在复杂背景、复杂窗户结构及存在透视变形的建筑物影像窗户提取实验中，该方法均有较好的检测率与正确率
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