ijegeo

International Journal of Environment and Geoinformatics

2148-9173

Istanbul University

Photogrammetry and Remote Sensing

Fotogrametri ve Uzaktan Algılama

Automatic Building Vectorization from Photogrammetric Point Clouds for GIS-based Spatial Analysis

https://orcid.org/0009-0003-8257-1244

Bozkurt

Tolga

İSTANBUL TEKNİK ÜNİVERSİTESİ

https://orcid.org/0000-0003-2273-7751

Atik

Muhammed Enes

İSTANBUL TEKNİK ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ, FOTOGRAMETRİ (DR)

https://orcid.org/0000-0002-1608-0119

Duran

Zaide

İSTANBUL TEKNİK ÜNİVERSİTESİ

12 25 2024

11 4 10 16 06 22 2024 12 06 2024

2014

International Journal of Environment and Geoinformatics

Photogrammetry has played an important role in creating visually interesting three-dimensional (3D) models thanks to unmanned aerial vehicle (UAV) images in recent years. Photogrammetry and GIS are widely used together to produce and analyze 3D models. This study successfully produced 3D models of buildings using photogrammetry and transferred them to GIS for analysis. UAVs were utilized to capture images, which were then processed to generate a dense point cloud. The point cloud was classified using rule-based classification. Buildings were vectorized and textured, and the resulting models were analyzed in ArcGIS Pro software. The study achieved a high accuracy in the classification process and automatic vectorization. The use of UAVs expedited data collection and improved data quality, while the detailed analysis of the point enabled precise analysis for many applications such as urban planning and land management. The integration of building models into GIS facilitated more accurate and efficient work processes.

Photogrammetry GIS Point Cloud Classification UAV

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