Yıl: 2020 Cilt: 7 Sayı: 2 Sayfa Aralığı: 165 - 171 Metin Dili: İngilizce DOI: 30897/ijegeo.715510 İndeks Tarihi: 22-10-2020

Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm

Öz:
Solar energy is a renewable energy source directly from sunlight and its production depends on roof characteristics such as roof type and size. In solar potential analysis, the main purpose is to determine the suitable roofs for the placement of solar panels. Hence, roof plane detection plays a crucial role in solar energy assessment. In this study, a detailed comparison was presented between aerialphotogrammetry data and LIDAR data for roof plane recognition applying RANSAC (Random Sample Consensus) algorithm. RANSAC algorithm was performed to 3D-point clouds obtained by both LIDAR (Laser Ranging and Detection) and aerialphotogrammetric survey. In this regard, solar energy assessment from the results can be applied. It is shown that, the RANSAC algorithm detects building roofs better on the point cloud data acquired from airborne LIDAR regarding completeness within model, since aerial photogrammetric survey provides noisy data in spite of its high-density data. This noise in the source data leads todeformations in roof plane detection. The study area of the project is the campus of Istanbul Technical University. Accuracy information of the roof extraction of three different buildings are presented in tables.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA GONULTAŞ F, Atik M, DURAN Z (2020). Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. , 165 - 171. 30897/ijegeo.715510
Chicago GONULTAŞ Fulya,Atik Muhammed Enes,DURAN Zaide Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. (2020): 165 - 171. 30897/ijegeo.715510
MLA GONULTAŞ Fulya,Atik Muhammed Enes,DURAN Zaide Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. , 2020, ss.165 - 171. 30897/ijegeo.715510
AMA GONULTAŞ F,Atik M,DURAN Z Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. . 2020; 165 - 171. 30897/ijegeo.715510
Vancouver GONULTAŞ F,Atik M,DURAN Z Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. . 2020; 165 - 171. 30897/ijegeo.715510
IEEE GONULTAŞ F,Atik M,DURAN Z "Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm." , ss.165 - 171, 2020. 30897/ijegeo.715510
ISNAD GONULTAŞ, Fulya vd. "Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm". (2020), 165-171. https://doi.org/30897/ijegeo.715510
APA GONULTAŞ F, Atik M, DURAN Z (2020). Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. International Journal of Environment and Geoinformatics, 7(2), 165 - 171. 30897/ijegeo.715510
Chicago GONULTAŞ Fulya,Atik Muhammed Enes,DURAN Zaide Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. International Journal of Environment and Geoinformatics 7, no.2 (2020): 165 - 171. 30897/ijegeo.715510
MLA GONULTAŞ Fulya,Atik Muhammed Enes,DURAN Zaide Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. International Journal of Environment and Geoinformatics, vol.7, no.2, 2020, ss.165 - 171. 30897/ijegeo.715510
AMA GONULTAŞ F,Atik M,DURAN Z Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. International Journal of Environment and Geoinformatics. 2020; 7(2): 165 - 171. 30897/ijegeo.715510
Vancouver GONULTAŞ F,Atik M,DURAN Z Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm. International Journal of Environment and Geoinformatics. 2020; 7(2): 165 - 171. 30897/ijegeo.715510
IEEE GONULTAŞ F,Atik M,DURAN Z "Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm." International Journal of Environment and Geoinformatics, 7, ss.165 - 171, 2020. 30897/ijegeo.715510
ISNAD GONULTAŞ, Fulya vd. "Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm". International Journal of Environment and Geoinformatics 7/2 (2020), 165-171. https://doi.org/30897/ijegeo.715510