کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5755432 1621793 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic extraction of road features in urban environments using dense ALS data
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Automatic extraction of road features in urban environments using dense ALS data
چکیده انگلیسی
This paper describes a methodology that automatically extracts semantic information from urban ALS data for urban parameterization and road network definition. First, building façades are segmented from the ground surface by combining knowledge-based information with both voxel and raster data. Next, heuristic rules and unsupervised learning are applied to the ground surface data to distinguish sidewalk and pavement points as a means for curb detection. Then radiometric information was employed for road marking extraction. Using high-density ALS data from Dublin, Ireland, this fully automatic workflow was able to generate a F-score close to 95% for pavement and sidewalk identification with a resolution of 20 cm and better than 80% for road marking detection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 64, February 2018, Pages 226-236
نویسندگان
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