کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10360121 | 869659 | 2005 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection](/preview/png/10360121.png)
چکیده انگلیسی
A method for the detection of buildings in densely built-up urban areas by the fusion of first and last pulse laser scanner data and multi-spectral images is presented. The method attempts to achieve a classification of land cover into the classes “building”, “tree”, “grassland”, and “bare soil”, the latter three being considered relevant for the subsequent generation of a high-quality digital terrain model (DTM). Building detection is accomplished by first applying a hierarchical rule-based technique for coarse DTM generation based on morphological filtering. After that, data fusion based on the theory of Dempster-Shafer is used at two different stages of the classification process. We describe the algorithms involved, giving examples for a test site in Fairfield (New South Wales).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 6, Issue 4, December 2005, Pages 283-300
Journal: Information Fusion - Volume 6, Issue 4, December 2005, Pages 283-300
نویسندگان
Franz Rottensteiner, John Trinder, Simon Clode, Kurt Kubik,