Roof Segmentation on the High Resolution Digital Terrain Model

被引：0
|
作者：
Starodubtsev, Illya [1 ]
Michailov, Igor [1 ]
机构：
[1] Ural Fed Univ, NN Krasovskii Inst Math & Mech, Ekaterinburg, Russia
来源：
2019 URAL SYMPOSIUM ON BIOMEDICAL ENGINEERING, RADIOELECTRONICS AND INFORMATION TECHNOLOGY (USBEREIT) | 2019年
关键词：
roof segmentation; areal photo; image segmentation; PCL; OpenCV; digital terrain model (DTM); Digital Elevation Model (DEM);
D O I：
10.1109/usbereit.2019.8736670
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In the paper the problem of allocation of roofs of houses on high resolution digital terrain model is considered. The following sub-tasks are considered, such as the allocation of "bare ground", tree filtering and roof contouring. The approaches to the solution based on mathematical morphology, probability theory and contour analysis are presented. In conclusion, estimates of the accuracy of the resulting algorithm obtained during real data tests are given.
引用
收藏
页码：208 / 212
页数：5
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