3DBuilding Facades and Roofs Objects Extraction from Pixel Height Map
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摘要: 针对三维建筑物屋顶和立面目标的自动提取难题提出了一种利用倾斜影像生成的像素高度图来识别和提取三维建筑物目标的方法根据高度图的梯度特征提取垂直立面目标根据高度图的最大熵阈值特征提取屋顶目标 采用多角度面阵数字航空相机获取的倾斜影像数据进行实验验证了本文方法的正确性与有效性Abstract: Aiming at the critical issues in automatic 3Dbuilding facades and roofs extractionaprelimi nary 3Dbuilding object extraction al gorithm from a pixel hei ght mapderived from the obli que air borne imager y through dense matchingwas therefore desi gned and implemented．Based on the knowledge of building structure and surface shapesthis method takes full advantage of the hei ght gradient feature to extract the facadeswhile at the same time uses the maximum entropy threshold feature to extract the roof surfaces．Multi－angle di gital aerial images are emplo yed for experimental anal ysisthe results show that 3Dbuilding objects with complex shape can be detected and extracted reliabl y from pixel hei ght map
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