Linear regression and lines intersecting as a method of extracting punctual entities in a LiDAR point cloud



Título del documento: Linear regression and lines intersecting as a method of extracting punctual entities in a LiDAR point cloud
Revista: Boletim de ciencias geodesicas
Base de datos: PERIÓDICA
Número de sistema: 000457304
ISSN: 1413-4853
Autores: 1
1
Instituciones: 1Universidade Federal do Parana, Curitiba, Parana. Brasil
Año:
Volumen: 27
Número: 3
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés The characteristics of data points obtained by laser scanning (LiDAR) and images have been considered complementary in the field of photogrammetric applications, and research to improve their integrated use have recently intensified. This study aim to verify the performance of determining punctual entities in a LiDAR point cloud using linear regression and intersecting lines obtained from buildings with square rooftop containing four planes (hip roof), as well as compare punctual entities three-dimensional coordinates determined by planes intersection. Our results show that the proposed method was more accurate in determining three-dimensional coordinates than plan intersection method. The obtained coordinates were evaluated and framed into the map accuracy standard for digital cartographic products (PEC-PCD), besides being analyzed for trend and precision. Accuracy analysis results frame punctual entities three-dimensional coordinates into the 1/2,000 or lower scale for Class A of PEC-PCD
Disciplinas: Geociencias
Palabras clave: Cartografía,
Fotogrametría,
LIDAR,
Regresión lineal,
Intersección de líneas
Keyword: Cartography,
Photogrammetry,
LIDAR,
Linear Regression,
Lines Intersection
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