邓非, 李朋龙, 阚酉浔, 康俊华, 万方. 数字建筑模型整体投影真正射影像制作中的遮蔽检测方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(1): 97-102. DOI: 10.13203/j.whugis20140660
引用本文: 邓非, 李朋龙, 阚酉浔, 康俊华, 万方. 数字建筑模型整体投影真正射影像制作中的遮蔽检测方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(1): 97-102. DOI: 10.13203/j.whugis20140660
DENG Fei, LI Penglong, KAN Youxun, KANG Junhua, WAN Fang. Overall Projection of DBM for Occlusion Detection in True Orthophoto Generation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(1): 97-102. DOI: 10.13203/j.whugis20140660
Citation: DENG Fei, LI Penglong, KAN Youxun, KANG Junhua, WAN Fang. Overall Projection of DBM for Occlusion Detection in True Orthophoto Generation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(1): 97-102. DOI: 10.13203/j.whugis20140660

数字建筑模型整体投影真正射影像制作中的遮蔽检测方法

Overall Projection of DBM for Occlusion Detection in True Orthophoto Generation

  • 摘要: 为解决城市大比例尺真正射影像制作问题,提出了一种数字建筑模型(digital building model,DBM)整体投影遮蔽检测方法。该方法利用DBM表面以矢量三角面存储和平面图形投影内部栅格互不遮蔽的特点,首先以三角面为单元对整个建筑物进行正射投影得到房顶多边形;然后进行透视投影得到整个建筑物在像方的成像多边形,通过数字高程模型(digital elevation model,DEM)投影迭代算法得到该建筑物在传统正射影像上的成像多边形,两者求差集得到建筑物的遮蔽区域物方多边形;最后选取最优辅助影像对遮蔽区域进行纹理补偿,制作出真正射影像。实验结果表明,该方法能够快速准确地检测出影像遮蔽区域,为生成高质量真正射影像提供了保障和前提。

     

    Abstract: To solve the problem of large-scale urban true orthophoto's generation, the paper proposes an occlusion detection based on the overall projection of digital building model (DBM). Using the characteristics that the surface of DBM storage with triangular facets and raster inside projection of plane graphics do not shelter, we use triangular face as a unit to orthographic projection of the entire buildings to get polygon of the roof. Make perspective projection of the entire buildings to get the polygon of the building on the image, then get the polygon of the whole building on traditional orthophoto based on DEM projection iteration. We can get the occlusion areas of the building by subtracting two polygons. Finally, we get the true orthophoto after repairing the occlusion areas with the best image. The experiment shows that the method can detect the occlusion areas quickly and accurately and provide a prediction to generate high-quality true orthophoto.

     

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