کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4965321 1448278 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic identification of watercourses in flat and engineered landscapes by computing the skeleton of a LiDAR point cloud
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Automatic identification of watercourses in flat and engineered landscapes by computing the skeleton of a LiDAR point cloud
چکیده انگلیسی
Drainage networks play a crucial role in protecting land against floods. It is therefore important to have an accurate map of the watercourses that form the drainage network. Previous work on the automatic identification of watercourses was typically based on grids, focused on natural landscapes, and used mostly the slope and curvature of the terrain. We focus in this paper on areas that are characterised by low-lying, flat, and engineered landscapes; these are characteristic to the Netherlands for instance. We propose a new methodology to identify watercourses automatically from elevation data, it uses solely a raw classified LiDAR point cloud as input. We show that by computing twice a skeleton of the point cloud-once in 2D and once in 3D-and that by using the properties of the skeletons we can identify most of the watercourses. We have implemented our methodology and tested it for three different soil types around Utrecht, the Netherlands. We were able to detect 98% of the watercourses for one soil type, and around 75% for the worst case, when we compared to a reference dataset that was obtained semi-automatically.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 106, September 2017, Pages 171-180
نویسندگان
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