黄敏儿, 杜志强, 朱庆, 张叶廷, 胡翰. 利用像素高度图的三维建筑物屋顶和立面提取方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1221-1224.
引用本文: 黄敏儿, 杜志强, 朱庆, 张叶廷, 胡翰. 利用像素高度图的三维建筑物屋顶和立面提取方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(10): 1221-1224.
HUANG Miner, DU Zhiqiang, ZHU Qing, ZHANG Yeting, HU Han. 3DBuilding Facades and Roofs Objects  Extraction from Pixel Height Map[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1221-1224.
Citation: HUANG Miner, DU Zhiqiang, ZHU Qing, ZHANG Yeting, HU Han. 3DBuilding Facades and Roofs Objects  Extraction from Pixel Height Map[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1221-1224.

利用像素高度图的三维建筑物屋顶和立面提取方法

3DBuilding Facades and Roofs Objects  Extraction from Pixel Height Map

  • 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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