LINEAR REGRESSION AND LINES INTERSECTING AS A METHOD OF EXTRACTING PUNCTUAL ENTITIES IN A LIDAR POINT CLOUD

Received in 16th December 2020. Accepted in 25th June 2021. Abstract: The characteristics of data points obtained by laser scanning (LiDAR) and images have been considerec complementary in the field of photogrammetric applications, and research to improve their integrated use have recently intensifi...

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Bibliographic Details
Published in:Boletim de Ciências Geodésicas 2021, Vol.27 (3), p.1-21
Main Authors: Martins, Marlo Antonio Ribeiro, Mitishita, Edson Aparecido
Format: Article
Language:English
Subjects:
Accuracy
Cartography
Data points
Digital mapping
GEOCHEMISTRY & GEOPHYSICS
Lidar
Line intersections
Methods
Neural networks
Photogrammetry
Regression analysis
REMOTE SENSING
Roofing
Topography
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Summary:Received in 16th December 2020. Accepted in 25th June 2021. Abstract: The characteristics of data points obtained by laser scanning (LiDAR) and images have been considerec 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 clouc using linear regression and intersecting lines obtained from buildings with square rooftop containing four plane; (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 thar plan intersection method. The obtained coordinates were evaluated and framed into the map accuracy standard foi digital cartographic products (PEC-PCD), besides being analyzed for trend and precision. Accuracy analysis result; frame punctual entities three-dimensional coordinates into the 1/2,000 or lower scale for Class A of PEC-PCD.
ISSN:1413-4853
1982-2170
1982-2170
DOI:10.1590/s1982-21702021000300022